_id large_stringlengths 24 24 | hash large_stringlengths 16 16 | vocab_hash large_stringlengths 16 16 | vocab_size int64 1 2.4M | model_type large_stringclasses 4
values | num_merges float64 0 4.41M ⌀ | has_normalizer bool 2
classes | has_pre_tokenizer bool 2
classes | has_post_processor bool 2
classes | has_decoder bool 2
classes | num_added_tokens int64 0 479k | normalizer_type large_stringclasses 11
values | pre_tokenizer_type large_stringclasses 10
values | decoder_type large_stringclasses 9
values | normalizer_types listlengths 0 11.3k ⌀ | pre_tokenizer_types listlengths 1 35 ⌀ | decoder_types listlengths 0 24 ⌀ | tokenizer_id int64 0 24.8k | id large_stringlengths 7 122 | author stringlengths 2 41 ⌀ | base_models dict | downloads int64 0 206M | downloads_all_time int64 0 2.81B | gated stringclasses 3
values | created_at timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2025-11-03 14:41:54 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:34:15 2026-03-29 10:14:05 ⌀ | library_name stringclasses 36
values | likes int64 0 13.1k | trending_score float64 0 47 | model_index stringlengths 30 911k ⌀ | pipeline_tag stringclasses 46
values | safetensors stringlengths 30 122 ⌀ | siblings listlengths 0 10k ⌀ | sha stringlengths 40 40 ⌀ | tags listlengths 2 1.82k ⌀ | gguf stringclasses 789
values | config stringlengths 2 53.7k ⌀ | transformers_info dict | card_data stringlengths 234 905k ⌀ | card stringlengths 0 638k ⌀ | spaces null | licenses listlengths 1 3 ⌀ | datasets listlengths 1 289 ⌀ | languages listlengths 1 1.81k ⌀ | safetensors_params float64 0 1,019B ⌀ | gguf_params float64 0 122B ⌀ | metrics listlengths 1 15 ⌀ | architectures listlengths 1 6 ⌀ | tasks listlengths 1 6 ⌀ | modalities listlengths 1 4 ⌀ | input_modalities listlengths 1 3 ⌀ | output_modalities listlengths 1 4 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
687a0f430b552fa0b3a1c8dc | b832328b962dff78 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 728 | OpenMed/OpenMed-NER-PathologyDetect-SuperMedical-355M | OpenMed | null | 88,638 | 505,318 | False | 2025-07-18T09:09:23Z | 2025-08-05T09:46:10Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 354313219}, "total": 354313219} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 543589135644eb5ac3618f5829cb8f32b08bd7bc | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"ncbi",
"pathology",
"disease",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | # 🧬 [OpenMed-NER-PathologyDetect-SuperMedical-355M](https://huggingface.co/OpenMed/OpenMed-NER-PathologyDetect-SuperMedical-355M)
**Specialized model for Disease Entity Recognition - Disease entities from the NCBI dataset**
[](https://opensource.o... | null | [
"apache-2.0"
] | null | [
"en"
] | 354,313,219 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877fdbb61038e891960ab58 | d13dc58d71bbfa73 | 291a9305acaae14c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 413 | OpenMed/OpenMed-NER-AnatomyDetect-PubMed-109M | OpenMed | null | 88,979 | 509,878 | False | 2025-07-16T19:30:03Z | 2025-08-05T09:35:45Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108893955}, "total": 108893955} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 10d8d3a7f6bd2667bafb3afce75f27525f53b2fe | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,893,955 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877f57c5116015d11b16239 | 0f8423b4fa6a301e | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 418 | OpenMed/OpenMed-NER-DNADetect-BioClinical-108M | OpenMed | null | 88,851 | 504,758 | False | 2025-07-16T18:54:52Z | 2025-08-05T09:32:43Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 107728139}, "total": 107728139} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 57f0c5c1b846e1b2548eca27bc2a54c1dceeb494 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-recognition",
"gene-recognition",
"molecular-biology",
"genomics",
"dna",
"rna",
"cell_line",
"cell_type",
"protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 107,728,139 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687801f87fe921645bccb5d0 | 1f077a9a0005c931 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 230 | OpenMed/OpenMed-NER-OrganismDetect-ElectraMed-560M | OpenMed | null | 88,308 | 504,301 | False | 2025-07-16T19:48:08Z | 2025-08-05T09:37:06Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 558843907}, "total": 558843907} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 0271a96817d049c0a1339a517e697807b6dc0988 | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:u... | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 558,843,907 | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67e1ccbd49e981c1482ff619 | 5a92ad66405a4a95 | 86a334241cee71f3 | 156,940 | BPE | 280,147 | false | true | true | true | 28,940 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 729 | unsloth/orpheus-3b-0.1-ft | unsloth | {
"models": [
{
"_id": "67d7a25ee3396bf0c92e811c",
"id": "canopylabs/orpheus-3b-0.1-ft"
}
],
"relation": "finetune"
} | 31,373 | 412,006 | False | 2025-03-24T21:21:01Z | 2025-07-09T08:27:36Z | transformers | 12 | 0 | null | text-to-speech | {"parameters": {"BF16": 3300867072}, "total": 3300867072} | [
".gitattributes",
"README.md",
"chat_template.jinja",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | eae2b6e5e429c81b95ac42a883ac64f126583d43 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"en",
"base_model:canopylabs/orpheus-3b-0.1-ft",
"base_model:finetune:canopylabs/orpheus-3b-0.1-ft",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|eot_id|>", "pad_token": "<|finetune_right_pad_id|>", "unk_token": null, "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- en... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["canopylabs/orpheus-3b-0.1-ft", "meta-llama/Llama-3.2-3B-Instruct", "canopylabs/orpheus-3b-0.1-pretrained"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": nul... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 3,300,867,072 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-to-speech",
"text-generation"
] | [
"text",
"audio"
] | [
"text"
] | [
"text",
"audio"
] |
674997f5a0b2eed4b63f9abe | 1774aa5af215e36a | 6b3612a55f8124d9 | 151,657 | BPE | 151,387 | true | true | true | true | 14 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 576 | unsloth/Qwen2-VL-7B-Instruct-unsloth-bnb-4bit | unsloth | {
"models": [
{
"_id": "66cee7d175a88154443a4056",
"id": "Qwen/Qwen2-VL-7B-Instruct"
}
],
"relation": "quantized"
} | 5,360 | 279,004 | False | 2024-11-29T10:31:17Z | 2025-03-09T05:33:17Z | transformers | 12 | 0 | null | image-text-to-text | {"parameters": {"F32": 455216, "BF16": 1733319168, "U8": 6763065370}, "total": 8496839754} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 4eca56ae80069296cee586f0cd1eabf167854ebe | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"qwen",
"qwen2",
"unsloth",
"vision",
"conversational",
"en",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen2-VL-7B-Instruct",
"base_model:quantized:Qwen/Qwen2-VL-7B-Instruct",
"license:apache... | null | {"architectures": ["Qwen2VLForConditionalGeneration"], "model_type": "qwen2_vl", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "Qwen/Qwen2-VL-7B-Instruct", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal", "qwen", "qwen2", ... | ### ***Unsloth's [Dynamic 4-bit Quants](https://unsloth.ai/blog/dynamic-4bit) selectively avoids quantizing certain parameters, greatly improving accuracy while keeping VRAM usage similar to BnB 4-bit.<br>See our full collection of Unsloth quants on [Hugging Face here.](https://huggingface.co/collections/unsloth/unslot... | null | [
"apache-2.0"
] | null | [
"en"
] | 8,496,839,754 | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
621ffdc136468d709f1786a9 | c9f0df9a071d1926 | 81c31c5734912d4c | 50,263 | BPE | 50,000 | false | true | true | true | 7 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 730 | af1tang/personaGPT | af1tang | null | 1,987 | 194,309 | False | 2022-03-02T23:29:05Z | 2023-08-20T20:10:05Z | transformers | 120 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 2b9c48d5347b80d824b14148e91c0288af4fbe36 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"arxiv:1801.07243",
"license:gpl-3.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "gpl-3.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | ## A conversational agent with many personalities (PersonaGPT)
PersonaGPT is an open-domain conversational agent designed to do 2 tasks:
1. decoding _personalized_ responses based on input personality facts (the "persona" profile of the bot).
2. incorporating _turn-level goals_ into its responses through "action code... | null | [
"gpl-3.0"
] | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6877fbe2b19c515bad7acf52 | 1f077a9a0005c931 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 230 | OpenMed/OpenMed-NER-AnatomyDetect-BigMed-560M | OpenMed | null | 90,485 | 509,574 | False | 2025-07-16T19:22:10Z | 2025-08-05T09:35:03Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 558843907}, "total": 558843907} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"unigram.json"
] | 9a03e4d55b80867446d5406b10292719272dcca3 | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 558,843,907 | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6638684accadfaaeac5637e4 | 7d891ff144d91f36 | 6ccbcfb201776aba | 32,012 | BPE | 61,249 | true | false | true | true | 15 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 731 | Salesforce/xgen-mm-phi3-mini-instruct-r-v1 | Salesforce | null | 217 | 193,581 | False | 2024-05-06T05:19:06Z | 2025-02-03T06:26:42Z | transformers | 186 | 0 | null | image-text-to-text | {"parameters": {"F32": 4589362243}, "total": 4589362243} | [
".gitattributes",
".gitignore",
"LICENSE.txt",
"README.md",
"added_tokens.json",
"batch_inference.ipynb",
"config.json",
"configuration_xgenmm.py",
"demo.ipynb",
"generation_config.json",
"image_processing_blip_3.py",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
... | 1d91d356d3b6fbc141140edf490b39890417af44 | [
"transformers",
"safetensors",
"xgenmm",
"feature-extraction",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"arxiv:2408.08872",
"license:cc-by-nc-4.0",
"region:us"
] | null | {"architectures": ["XGenMMModelForConditionalGeneration"], "auto_map": {"AutoConfig": "configuration_xgenmm.XGenMMConfig", "AutoModelForVision2Seq": "modeling_xgenmm.XGenMMModelForConditionalGeneration"}, "model_type": "xgenmm", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in... | {
"auto_model": "AutoModelForVision2Seq",
"custom_class": "modeling_xgenmm.XGenMMModelForConditionalGeneration",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": null} | # 📣 News
📌 [08/19/2024] xGen-MM-v1.5 released:
- [🤗 xgen-mm-phi3-mini-instruct-interleave-r-v1.5](https://huggingface.co/Salesforce/xgen-mm-phi3-mini-instruct-interleave-r-v1.5)
- [🤗 xgen-mm-phi3-mini-base-r-v1.5](https://huggingface.co/Salesforce/xgen-mm-phi3-mini-base-r-v1.5)
- [🤗 xgen-mm-phi3-mini-instruc... | null | [
"cc-by-nc-4.0"
] | null | [
"en"
] | 4,589,362,243 | null | null | [
"xgenmm",
"XGenMMModelForConditionalGeneration",
"modeling_xgenmm.XGenMMModelForConditionalGeneration",
"AutoModelForVision2Seq"
] | [
"image-text-to-text",
"feature-extraction"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text",
"embeddings"
] |
687803433d68aaab80e8aba1 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-OrganismDetect-ModernClinical-395M | OpenMed | null | 90,388 | 509,661 | False | 2025-07-16T19:53:39Z | 2025-08-05T09:37:30Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 395834371}, "total": 395834371} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 1d6c5bda8d8c61b778773d544090381f0c241d5a | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 395,834,371 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780d0c0fc8fb77fd572a64 | 1f077a9a0005c931 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 230 | OpenMed/OpenMed-NER-DiseaseDetect-BigMed-560M | OpenMed | null | 88,983 | 502,403 | False | 2025-07-16T20:35:24Z | 2025-08-05T09:40:29Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 558843907}, "total": 558843907} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"unigram.json"
] | f018c30627a4d09aac6c18a34946c8853f0ea914 | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"pathology",
"biocuration",
"disease",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:... | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 558,843,907 | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687806fceac400611e844ffc | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-GenomicDetect-ModernMed-395M | OpenMed | null | 8 | 402,059 | False | 2025-07-16T20:09:32Z | 2025-08-05T09:38:39Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 395834371}, "total": 395834371} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 1e549b6d7cca158cfeb117e5af5c42696b61af91 | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"genetics",
"genomics",
"molecular-biology",
"cell-line-name",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 395,834,371 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780ea3df827e82a9a6e3f8 | 0f8423b4fa6a301e | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 418 | OpenMed/OpenMed-NER-DiseaseDetect-BioClinical-108M | OpenMed | null | 87,543 | 500,675 | False | 2025-07-16T20:42:11Z | 2025-08-05T09:41:00Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 107721987}, "total": 107721987} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | f25fd4b79677a7a9c16ed5450764753592c5aea1 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"pathology",
"biocuration",
"disease",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 107,721,987 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687802829be9ab16d7b7c864 | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-ProteinDetect-TinyMed-82M | OpenMed | null | 90,741 | 510,508 | False | 2025-07-16T19:50:26Z | 2025-08-05T09:37:17Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 81536267}, "total": 81536267} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | fc52077a6d3ca24d170c33fea77d0fe6b414da4a | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-interactions",
"molecular-biology",
"biochemistry",
"systems-biology",
"protein",
"protein_complex",
"protein_enum",
"protein_familiy_or_group",
"protein_variant",
"... | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 81,536,267 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a09b27ca00662fb521526 | fce4c9c0fb3bed35 | 1e78464774d502ca | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 658 | OpenMed/OpenMed-NER-AnatomyDetect-EuroMed-212M | OpenMed | null | 90,621 | 507,839 | False | 2025-07-18T08:45:38Z | 2025-08-05T09:44:26Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 211768323}, "total": 211768323} | [
".gitattributes",
"README.md",
"config.json",
"configuration_eurobert.py",
"model.safetensors",
"modeling_eurobert.py",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | a183c16a70fe51942f7f1b267775abdcc377ca40 | [
"transformers",
"safetensors",
"eurobert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"custom_code",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"regi... | null | {"architectures": ["EuroBertForTokenClassification"], "auto_map": {"AutoConfig": "configuration_eurobert.EuroBertConfig", "AutoModel": "modeling_eurobert.EuroBertModel", "AutoModelForMaskedLM": "modeling_eurobert.EuroBertForMaskedLM", "AutoModelForPreTraining": "modeling_eurobert.EuroBertPreTrainedModel", "AutoModelFor... | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 211,768,323 | null | null | [
"AutoModelForTokenClassification",
"EuroBertForTokenClassification",
"eurobert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0ad32dd422188a369c9e | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-OrganismDetect-MultiMed-335M | OpenMed | null | 88,993 | 503,952 | False | 2025-07-18T08:50:27Z | 2025-08-05T09:44:47Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | bd7cf7ded3045b5e8db6e65e62a3283252728395 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0a2c61552cc5e8ac3b49 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-AnatomyDetect-ModernMed-149M | OpenMed | null | 89,953 | 507,973 | False | 2025-07-18T08:47:40Z | 2025-08-05T09:44:35Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 149607171}, "total": 149607171} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 147280de3d867544aa2233ee759aeaf3888e9cb4 | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 149,607,171 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878281d1b47e4c62cf2142f | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-AnatomyDetect-PubMed-v2-109M | OpenMed | null | 89,547 | 506,321 | False | 2025-07-16T22:30:53Z | 2025-08-05T09:43:46Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108893955}, "total": 108893955} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | f06bf613c2071d86f1336d75b359d0dd13f394eb | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,893,955 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68781263d123946c95bd1f43 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-ChemicalDetect-ModernClinical-395M | OpenMed | null | 89,289 | 503,223 | False | 2025-07-16T20:58:11Z | 2025-08-05T09:42:16Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 395834371}, "total": 395834371} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 92c13363c1a2b5bd0efd9f6c19e243d5488ef47d | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"chemistry",
"chem",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 395,834,371 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0c283d8f60d380e00514 | e034328a2d067fa5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 237 | OpenMed/OpenMed-NER-ProteinDetect-SuperClinical-434M | OpenMed | null | 89,388 | 507,007 | False | 2025-07-18T08:56:08Z | 2025-08-05T09:45:06Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 434023435}, "total": 434023435} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"spm.model",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | c8cb21847b8a2f8b303831e8f13e34627fe506d6 | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-interactions",
"molecular-biology",
"biochemistry",
"systems-biology",
"protein",
"protein_complex",
"protein_enum",
"protein_familiy_or_group",
"protein_variant",
... | null | {"architectures": ["DebertaV2ForTokenClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 434,023,435 | null | null | [
"DebertaV2ForTokenClassification",
"AutoModelForTokenClassification",
"deberta-v2"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0ab593090553a938e2ec | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-PathologyDetect-MultiMed-335M | OpenMed | null | 90,537 | 507,732 | False | 2025-07-18T08:49:57Z | 2025-08-05T09:44:46Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 3b84752e2a1475e3851045b938ebc3d0b49a60a3 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"ncbi",
"pathology",
"disease",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc136468d709f17a0cb | ee291bff3d5dc545 | 483fa5044ce5bdc8 | 50,500 | BPE | 50,000 | false | true | true | true | 240 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 292 | climatebert/distilroberta-base-climate-commitment | climatebert | null | 481 | 193,309 | False | 2022-03-02T23:29:05Z | 2023-06-20T18:51:55Z | transformers | 2 | 0 | null | text-classification | {"parameters": {"I64": 514, "F32": 82300418}, "total": 82300932} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 17337c3292df16a8fe93b1505dfe4122d50a4c91 | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"en",
"dataset:climatebert/climate_commitments_actions",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": fa... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["climatebert/climate_commitments_actions"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": null} | # Model Card for distilroberta-base-climate-commitment
## Model Description
This is the fine-tuned ClimateBERT language model with a classification head for classifying climate-related paragraphs into paragraphs being about climate commitments and actions and paragraphs not being about climate commitments and actions... | null | [
"apache-2.0"
] | [
"climatebert/climate_commitments_actions"
] | [
"en"
] | 82,300,932 | null | [
"accuracy"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0d616aaf4a59e0c8d15d | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-GenomicDetect-TinyMed-66M | OpenMed | null | 88,381 | 505,707 | False | 2025-07-18T09:01:21Z | 2025-08-05T09:45:34Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 66365187}, "total": 66365187} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 9d2be7ff3703b4daadf18fe7605c553fee2a445b | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"genetics",
"genomics",
"molecular-biology",
"cell-line-name",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | # 🧬 [OpenMed-NER-GenomicDetect-TinyMed-66M](https://huggingface.co/OpenMed/OpenMed-NER-GenomicDetect-TinyMed-66M)
**Specialized model for Gene Entity Recognition - Gene-related entities**
[](https://opensource.org/licenses/Apache-2.0)
[![Python](h... | null | [
"apache-2.0"
] | null | [
"en"
] | 66,365,187 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67d160a33f0fbe6c517e3721 | 46323c0f61df476d | 1fe366e13272caa0 | 262,145 | BPE | 514,906 | true | true | true | true | 6,415 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 49 | unsloth/gemma-3-27b-it-bnb-4bit | unsloth | {
"models": [
{
"_id": "67c35b9bb236f0d365bf29d3",
"id": "google/gemma-3-27b-it"
}
],
"relation": "quantized"
} | 7,462 | 540,970 | False | 2025-03-12T10:23:31Z | 2025-05-12T08:08:43Z | transformers | 18 | 0 | null | image-text-to-text | {"parameters": {"F32": 1749622, "BF16": 1422974576, "U8": 26822432578}, "total": 28247156776} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safet... | c08b2ba63738aa8cfc60f06741d6356ef4e60b3f | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"unsloth",
"gemma",
"google",
"conversational",
"en",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxi... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is str... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "google/gemma-3-27b-it", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["unsloth", "transformers", "gemma3", "gemma", "google"]} | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em><a href="https://docs.... | null | [
"gemma"
] | null | [
"en"
] | 28,247,156,776 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
6762ad60012bbbddfe6adba0 | 5b5443e0e57f0ca2 | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 732 | Satwik11/Llama-3.3-70B-Instruct-AutoRound-GPTQ-4bit | Satwik11 | {
"models": [
{
"_id": "6745f28f9333dfcc06268b1e",
"id": "meta-llama/Llama-3.3-70B-Instruct"
}
],
"relation": "quantized"
} | 10 | 191,430 | False | 2024-12-18T11:09:20Z | 2025-07-14T14:33:13Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 2102665216, "I32": 68451041280}, "total": 70553706496} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00009.safetensors",
"model-00002-of-00009.safetensors",
"model-00003-of-00009.safetensors",
"model-00004-of-00009.safetensors",
"model-00005-of-00009.safetensors",
"model-00006-of-00009.safetensors",
"model-0... | c0787cc32d134492e13048259dbb7b0be1f85d55 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"causal-lm",
"instruct",
"quantization",
"gptq",
"4-bit",
"autoregressive",
"conversational",
"dataset:meta-llama/Llama-3.3-70B-Instruct",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:quantized:meta-llama/Llama-3.3-7... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Llama-3.3-70B-Instruct"], "datasets": ["meta-llama/Llama-3.3-70B-Instruct"], "eval_results": null, "language": null, "library_name": "transformers", "license": "llama3.3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["llama",... | null | null | [
"llama3.3"
] | [
"meta-llama/Llama-3.3-70B-Instruct"
] | null | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
687a0d84e961749b13d82637 | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-ChemicalDetect-TinyMed-82M | OpenMed | null | 17 | 404,414 | False | 2025-07-18T09:01:56Z | 2025-08-05T09:45:37Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 81530115}, "total": 81530115} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 330271b8cf2081c10a0efcb7c3185df49d022767 | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"chemistry",
"chem",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | # 🧬 [OpenMed-NER-ChemicalDetect-TinyMed-82M](https://huggingface.co/OpenMed/OpenMed-NER-ChemicalDetect-TinyMed-82M)
**Specialized model for Chemical Entity Recognition - Identifies chemical compounds and substances in biomedical literature**
[](ht... | null | [
"apache-2.0"
] | null | [
"en"
] | 81,530,115 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
64a990e1a347b95719946132 | d82c716f01e57f52 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 62 | CreativeLang/metaphor_detection_roberta_seq | CreativeLang | null | 192 | 191,919 | False | 2023-07-08T16:37:53Z | 2023-09-25T22:08:17Z | transformers | 4 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 368f05361e16d04462972b600edcbad90d7362f1 | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"en",
"dataset:CreativeLang/vua20_metaphor",
"license:cc-by-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["CreativeLang/vua20_metaphor"], "eval_results": null, "language": ["en"], "library_name": null, "license": "cc-by-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Metaphor_Detection_Roberta_Seq
## Description
- **Paper:** [FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning](https://aclanthology.org/2023.eacl-main.114.pdf)
## Model Summary
Creative Language Toolkit (CLTK) Metadata
- CL Type: Metaphor
- Task Type: detection
- Size: roberta-base (500MB)
- ... | null | [
"cc-by-2.0"
] | [
"CreativeLang/vua20_metaphor"
] | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877fb4b05b1a7bb98d54817 | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-ProteinDetect-PubMed-v2-109M | OpenMed | null | 88,272 | 501,869 | False | 2025-07-16T19:19:39Z | 2025-08-05T09:34:51Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108900107}, "total": 108900107} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | f3877242a44ac750054eafc097bc92e55368b6a4 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-interactions",
"molecular-biology",
"biochemistry",
"systems-biology",
"protein",
"protein_complex",
"protein_enum",
"protein_familiy_or_group",
"protein_variant",
"en"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,900,107 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687812eaf0541aecc3009b00 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-SpeciesDetect-MultiMed-335M | OpenMed | null | 89,397 | 505,266 | False | 2025-07-16T21:00:26Z | 2025-08-05T09:42:26Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | ffd11711f5833dcae184eefb3ab4f50b782d9d15 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877fe6501cf3e80575646ea | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-PathologyDetect-ElectraMed-109M | OpenMed | null | 234 | 401,770 | False | 2025-07-16T19:32:53Z | 2025-08-05T09:35:59Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108893955}, "total": 108893955} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | f95aa51e0a36ca51ff71ebc80a0355b548652b63 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"ncbi",
"pathology",
"disease",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,893,955 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877f5de76bb2c972f38ba07 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-ProteinDetect-MultiMed-335M | OpenMed | null | 87,316 | 497,984 | False | 2025-07-16T18:56:30Z | 2025-08-05T09:34:26Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334103563}, "total": 334103563} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 2e8a308f1d8aa713b30b9535422d6c3053e60adb | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-interactions",
"molecular-biology",
"biochemistry",
"systems-biology",
"protein",
"protein_complex",
"protein_enum",
"protein_familiy_or_group",
"protein_variant",
"en"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,103,563 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877fe9bbc0a29a38cef9db3 | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-AnatomyDetect-SuperMedical-355M | OpenMed | null | 88,201 | 501,445 | False | 2025-07-16T19:33:47Z | 2025-08-05T09:36:03Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 354313219}, "total": 354313219} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 1714c49e1749300d04efc6475a9d927206779e36 | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 354,313,219 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878142a2ff9d3ff391fa78d | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-BloodCancerDetect-MultiMed-335M | OpenMed | null | 89,988 | 505,569 | False | 2025-07-16T21:05:46Z | 2025-08-05T09:42:47Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 8de088bf9d1a3624085cf2e970ccde8e39c876aa | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"leukemia",
"hematology",
"cancer",
"clinical-medicine",
"cl",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780df573bedf813f34cac9 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-DNADetect-MultiMed-335M | OpenMed | null | 88,412 | 503,874 | False | 2025-07-16T20:39:17Z | 2025-08-05T09:40:46Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334103563}, "total": 334103563} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 8cca5fb13963cf6e1287e2fae9ec856b54f5eca8 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-recognition",
"gene-recognition",
"molecular-biology",
"genomics",
"dna",
"rna",
"cell_line",
"cell_type",
"protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,103,563 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878071f1e4f7a7c565c206d | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-OncologyDetect-TinyMed-66M | OpenMed | null | 89,743 | 502,902 | False | 2025-07-16T20:10:07Z | 2025-08-05T09:38:41Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 66388257}, "total": 66388257} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | fe1b18fb9d19412f3b30f02f2558e502839d6b9a | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"cancer-genetics",
"oncology",
"gene-regulation",
"cancer-research",
"amino_acid",
"anatomical_system",
"cancer",
"cell",
"cellular_component",
"developing_anatomical_stru... | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 66,388,257 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
653ff2ef72d9237eeadb0b3b | 52bad4bf7b21579a | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 39 | laion/larger_clap_music | laion | null | 72,868 | 600,734 | False | 2023-10-30T18:16:15Z | 2023-10-30T19:17:40Z | transformers | 43 | 0 | null | feature-extraction | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | a0b4534a14f58e20944452dff00a22a06ce629d1 | [
"transformers",
"pytorch",
"clap",
"feature-extraction",
"arxiv:2211.06687",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["ClapModel"], "model_type": "clap", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Model
## TL;DR
CLAP is to audio what CLIP is to image. This is an improved CLAP checkpoint, specifically trained on music.
## Description
CLAP (Contrastive Language-Audio Pretraining) is a neural network trained on a variety of (audio, text) pairs. It can be instructed in to predict the most relevant text snippet... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"clap",
"AutoModel",
"ClapModel"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
68780f4428a640919bb6c66f | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-BloodCancerDetect-ElectraMed-335M | OpenMed | null | 88,130 | 499,530 | False | 2025-07-16T20:44:52Z | 2025-08-05T09:41:16Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 3c629c0c3aeb44cebb2bfee1c96efa7425eec513 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"leukemia",
"hematology",
"cancer",
"clinical-medicine",
"cl",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
64eca2d3f494f8b2a0b2da60 | 09a2a02de620c1f5 | 8570126679cbb427 | 45,043 | BPE | 64,040 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 733 | elyza/ELYZA-japanese-Llama-2-7b-fast-instruct | elyza | null | 1,121 | 197,621 | False | 2023-08-28T13:36:19Z | 2023-08-29T03:47:09Z | transformers | 82 | 0 | null | text-generation | null | [
".gitattributes",
"LICENCE.txt",
"README.md",
"config.json",
"generation_config.json",
"key_visual.png",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 89de33d1ad568855853196802aeaecd799c6586f | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ja", "en"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | ## ELYZA-japanese-Llama-2-7b
### Model Description
**ELYZA-japanese-Llama-2-7b** は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。
詳細は [Blog記事](https://note.com/elyza/n/na405acaca130) を参照してください。
### Usage
```python
import torch
from transformers import AutoModelForCausa... | null | [
"llama2"
] | null | [
"ja",
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6878d3e5d1f1282e82cf7d53 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-GenomeDetect-ModernClinical-395M | OpenMed | null | 90,277 | 507,570 | False | 2025-07-17T10:43:49Z | 2025-08-05T09:43:51Z | transformers | 3 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | bc5c621dba86001d7974003f5bba1f54a9973ec3 | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"protein-recognition",
"genomics",
"molecular-biology",
"gene/protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region... | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
65810ba342d7e36f4afdf7ac | 459a86e4f0ffca4e | cf20aa8540d51b3c | 50,364 | BPE | 49,999 | false | true | true | true | 107 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 734 | vinai/PhoWhisper-large | vinai | null | 8,394 | 217,745 | False | 2023-12-19T03:18:59Z | 2024-11-12T07:48:02Z | transformers | 41 | 1 | null | automatic-speech-recognition | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"normalizer.json",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | b9136a44b5f2ca664bd0b8f74baecf1715f6eeeb | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"vi",
"license:bsd-3-clause",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": ... | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["vi"], "library_name": null, "license": "bsd-3-clause", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # PhoWhisper: Automatic Speech Recognition for Vietnamese
We introduce **PhoWhisper** in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual [Whisper](https://github.com/openai/whisper) on an 844-hour dataset that encompasses diverse... | null | [
"bsd-3-clause"
] | null | [
"vi"
] | null | null | null | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
68780f65118408ff978162d0 | 1f077a9a0005c931 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 230 | OpenMed/OpenMed-NER-BloodCancerDetect-BigMed-560M | OpenMed | null | 90,145 | 506,966 | False | 2025-07-16T20:45:25Z | 2025-08-05T09:41:18Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 558843907}, "total": 558843907} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"unigram.json"
] | 3c2b85f87286fc19e96771b53dc0e2b2aa8477fc | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"leukemia",
"hematology",
"cancer",
"clinical-medicine",
"cl",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 558,843,907 | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687816c22858bc17af94a22f | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-DiseaseDetect-ModernMed-395M | OpenMed | null | 88,386 | 501,279 | False | 2025-07-16T21:16:50Z | 2025-08-05T09:43:31Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 395834371}, "total": 395834371} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | a9a8c40f00a4d5df866621ca7e76a8a07b4a6207 | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"pathology",
"biocuration",
"disease",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:u... | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 395,834,371 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878154a4f11b92759e01c22 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-ChemicalDetect-MultiMed-335M | OpenMed | null | 87,896 | 502,867 | False | 2025-07-16T21:10:34Z | 2025-08-05T09:43:06Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | c715c50692582e986997b782be5b67a167ab62b4 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"chemistry",
"chem",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
66a819f4eb641bdde6edd826 | 1e0a2493163c0c63 | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 18 | RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w8a8 | RedHatAI | {
"models": [
{
"_id": "66969ad27a033bf62173f3e2",
"id": "meta-llama/Llama-3.1-70B-Instruct"
}
],
"relation": "quantized"
} | 2,799 | 202,334 | False | 2024-07-29T22:38:44Z | 2025-02-11T16:39:13Z | transformers | 21 | 0 | null | text-generation | {"parameters": {"BF16": 2109382656, "I8": 68451041280}, "total": 70560423936} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00015.safetensors",
"model-00002-of-00015.safetensors",
"model-00003-of-00015.safetensors",
"model-00004-of-00015.safetensors",
"model-00005-of-00015.safetensors",
"model-00006-of-00015.safetensors",
"model-0... | 8d0dcbba33eeef589b0a607e46abe05a5a6431a8 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"int8",
"vllm",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2210.17323",
"base_model:meta-llama/Llama-3.1-70B-Instruct",
"base_model:quantized:meta-llama/Llama-3.1-70B-Instruct",
"license:llam... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "compressed-tensors"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Meta-Llama-3.1-70B-Instruct", "datasets": null, "eval_results": null, "language": ["en", "de", "fr", "it", "pt", "hi", "es", "th"], "library_name": null, "license": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", ... | null | null | [
"llama3.1"
] | null | [
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th"
] | 70,560,423,936 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
687a09e1af76a89a25163b28 | fce4c9c0fb3bed35 | 1e78464774d502ca | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 658 | OpenMed/OpenMed-NER-OncologyDetect-EuroMed-212M | OpenMed | null | 89,176 | 500,604 | False | 2025-07-18T08:46:25Z | 2025-08-05T09:44:30Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 211791393}, "total": 211791393} | [
".gitattributes",
"README.md",
"config.json",
"configuration_eurobert.py",
"model.safetensors",
"modeling_eurobert.py",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | ef6ad3dd25aa542bc32a7c620aaea91d667c047d | [
"transformers",
"safetensors",
"eurobert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"cancer-genetics",
"oncology",
"gene-regulation",
"cancer-research",
"amino_acid",
"anatomical_system",
"cancer",
"cell",
"cellular_component",
"developing_anatomical_struct... | null | {"architectures": ["EuroBertForTokenClassification"], "auto_map": {"AutoConfig": "configuration_eurobert.EuroBertConfig", "AutoModel": "modeling_eurobert.EuroBertModel", "AutoModelForMaskedLM": "modeling_eurobert.EuroBertForMaskedLM", "AutoModelForPreTraining": "modeling_eurobert.EuroBertPreTrainedModel", "AutoModelFor... | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 211,791,393 | null | null | [
"AutoModelForTokenClassification",
"EuroBertForTokenClassification",
"eurobert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0ce6e5feb2efc39a55eb | 099fc7b2924a795c | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 453 | OpenMed/OpenMed-NER-DNADetect-TinyMed-65M | OpenMed | null | 89,400 | 505,184 | False | 2025-07-18T08:59:18Z | 2025-08-05T09:45:20Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 65199371}, "total": 65199371} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | bbd45d6a587b92945b3acb093f73c7c56c444352 | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-recognition",
"gene-recognition",
"molecular-biology",
"genomics",
"dna",
"rna",
"cell_line",
"cell_type",
"protein",
"en",
"arxiv:2508.01630",
"license:apach... | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 65,199,371 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0d318ca9c78a6329cc3f | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M | OpenMed | null | 88,903 | 506,633 | False | 2025-07-18T09:00:33Z | 2025-08-05T09:45:28Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 66365187}, "total": 66365187} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | bdb016bf9402ff88d03a6106fe2c93e430791f4e | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | # 🧬 [OpenMed-NER-AnatomyDetect-TinyMed-66M](https://huggingface.co/OpenMed/OpenMed-NER-AnatomyDetect-TinyMed-66M)
**Specialized model for Anatomical Entity Recognition - Anatomical structures and body parts**
[](https://opensource.org/licenses/Apa... | null | [
"apache-2.0"
] | null | [
"en"
] | 66,365,187 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a08f975589c7abd3c38aa | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-ChemicalDetect-BioMed-109M | OpenMed | null | 88,998 | 500,747 | False | 2025-07-18T08:42:33Z | 2025-08-05T09:44:13Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108893955}, "total": 108893955} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | c7393ecb1bd58fa0d82d519114ca54c12ad60567 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"chemistry",
"chem",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,893,955 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0bf7162e3f4cec832014 | e034328a2d067fa5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 237 | OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-184M | OpenMed | null | 25 | 400,794 | False | 2025-07-18T08:55:19Z | 2025-08-05T09:45:02Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 183833859}, "total": 183833859} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"spm.model",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 3d262851e37358ee8cfb07b5c5aa09e48f49da32 | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DebertaV2ForTokenClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 183,833,859 | null | null | [
"DebertaV2ForTokenClassification",
"AutoModelForTokenClassification",
"deberta-v2"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0931d3547dda54a1a872 | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-BloodCancerDetect-BioMed-109M | OpenMed | null | 89,367 | 501,649 | False | 2025-07-18T08:43:29Z | 2025-08-05T09:44:18Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108893955}, "total": 108893955} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | b0a857460c539937927fd94e60ee676123075be5 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"leukemia",
"hematology",
"cancer",
"clinical-medicine",
"cl",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,893,955 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a097283c9defd2f6141fc | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-GenomicDetect-BioMed-335M | OpenMed | null | 89,267 | 500,793 | False | 2025-07-18T08:44:34Z | 2025-08-05T09:44:23Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | c352b73de1b861008ece3189dfce2ecd40a162d0 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"genetics",
"genomics",
"molecular-biology",
"cell-line-name",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a08acd1c94e75f1550492 | d13dc58d71bbfa73 | 291a9305acaae14c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 413 | OpenMed/OpenMed-NER-OrganismDetect-PubMed-109M | OpenMed | null | 89,708 | 503,849 | False | 2025-07-18T08:41:16Z | 2025-08-05T09:44:08Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108893955}, "total": 108893955} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 1ddbdd569bc2e847c6d541165cc0cd2609ebe96b | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,893,955 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0c7260a9fd634ac01c8e | e034328a2d067fa5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 237 | OpenMed/OpenMed-NER-PharmaDetect-SuperClinical-141M | OpenMed | null | 89,874 | 501,755 | False | 2025-07-18T08:57:22Z | 2025-08-05T09:45:10Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 141306627}, "total": 141306627} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"spm.model",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | e9fa688312d51a76c602aca71e90952fdb8ba46b | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"biocuration",
"chem",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"... | null | {"architectures": ["DebertaV2ForTokenClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 141,306,627 | null | null | [
"DebertaV2ForTokenClassification",
"AutoModelForTokenClassification",
"deberta-v2"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0c4c202280fb40abfe3e | e034328a2d067fa5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 237 | OpenMed/OpenMed-NER-SpeciesDetect-SuperClinical-434M | OpenMed | null | 89,475 | 500,775 | False | 2025-07-18T08:56:44Z | 2025-08-05T09:45:08Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 434015235}, "total": 434015235} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"spm.model",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 8470da2da3d8a0af99ebcc690334b2fef772bc79 | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DebertaV2ForTokenClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 434,015,235 | null | null | [
"DebertaV2ForTokenClassification",
"AutoModelForTokenClassification",
"deberta-v2"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a085023b853f953c24bd9 | 0f8423b4fa6a301e | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 418 | OpenMed/OpenMed-NER-SpeciesDetect-BioPatient-108M | OpenMed | null | 89,382 | 500,729 | False | 2025-07-18T08:39:44Z | 2025-08-05T09:43:59Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 107721987}, "total": 107721987} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | f03e94a408f19bc5eb3cf21bc909484e16403785 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 107,721,987 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
634e8ae2d049354d7ee1e490 | fc29ccd738d51f6b | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1 | ibm-research/qp-sentences | ibm-research | null | 12 | 189,731 | False | 2022-10-18T11:15:46Z | 2022-10-18T11:37:06Z | transformers | 1 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 5b118fa6e4210c8d199d33073676347044640680 | [
"transformers",
"pytorch",
"electra",
"text-classification",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ElectraForSequenceClassification"], "model_type": "electra", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | null | The QP model from the paper [Quality Controlled Paraphrase Generation](https://aclanthology.org/2022.acl-long.45/)
Important: read [this](https://github.com/IBM/quality-controlled-paraphrase-generation/issues/5#issuecomment-1238453742) before any use.
More details on the model training and usage see in this [GitHub r... | null | null | null | null | null | null | null | [
"ElectraForSequenceClassification",
"AutoModelForSequenceClassification",
"electra"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0eea186fc155cc918a2b | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-OrganismDetect-SuperMedical-125M | OpenMed | null | 89,365 | 503,446 | False | 2025-07-18T09:07:54Z | 2025-08-05T09:46:03Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 124057347}, "total": 124057347} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 89ba8fbd5d2fb3170a8e51ab6b8fc63d9192f8ce | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | # 🧬 [OpenMed-NER-OrganismDetect-SuperMedical-125M](https://huggingface.co/OpenMed/OpenMed-NER-OrganismDetect-SuperMedical-125M)
**Specialized model for Species Entity Recognition - Species names from the Species-800 dataset**
[](https://opensource... | null | [
"apache-2.0"
] | null | [
"en"
] | 124,057,347 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
65f5b88188a1b826457d794d | d49b8fd5deacd284 | 3aba7be11585fdda | 122,753 | BPE | 171,540 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 220 | BAAI/bge-reranker-v2-minicpm-layerwise | BAAI | null | 3,279 | 203,529 | False | 2024-03-16T15:19:29Z | 2024-03-19T09:26:28Z | sentence-transformers | 64 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"assets/BEIR-bge-en-v1.5.png",
"assets/BEIR-e5-mistral.png",
"assets/CMTEB-retrieval-bge-zh-v1.5.png",
"assets/llama-index.png",
"assets/miracl-bge-m3.png",
"config.json",
"configuration_minicpm_reranker.py",
"generation_config.json",
"model-00001-of-00003.safetens... | 47b5332b296c4d8cb6ee2c60502cc62a0d708881 | [
"sentence-transformers",
"safetensors",
"minicpm",
"text-generation",
"transformers",
"text-classification",
"custom_code",
"multilingual",
"arxiv:2312.15503",
"arxiv:2402.03216",
"license:apache-2.0",
"region:us"
] | null | {"architectures": ["LayerWiseMiniCPMForCausalLM"], "auto_map": {"AutoConfig": "BAAI/bge-reranker-v2-minicpm-layerwise--configuration_minicpm_reranker.LayerWiseMiniCPMConfig", "AutoModel": "BAAI/bge-reranker-v2-minicpm-layerwise--modeling_minicpm_reranker.LayerWiseMiniCPMModel", "AutoModelForCausalLM": "BAAI/bge-reranke... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "BAAI/bge-reranker-v2-minicpm-layerwise--modeling_minicpm_reranker.LayerWiseMiniCPMForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": ["transformers", "sentence-transformers"]} | # Reranker
**More details please refer to our Github: [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding/tree/master).**
- [Model List](#model-list)
- [Usage](#usage)
- [Fine-tuning](#fine-tune)
- [Evaluation](#evaluation)
- [Citation](#citation)
Different from embedding model, reranker uses question and docu... | null | [
"apache-2.0"
] | null | [
"multilingual"
] | null | null | null | [
"minicpm",
"AutoModelForCausalLM",
"BAAI/bge-reranker-v2-minicpm-layerwise--modeling_minicpm_reranker.LayerWiseMiniCPMForCausalLM",
"LayerWiseMiniCPMForCausalLM"
] | [
"text-generation",
"text-classification"
] | [
"text"
] | [
"text"
] | [
"text",
"logits"
] |
687a0cd61003d29c41b633c5 | 099fc7b2924a795c | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 453 | OpenMed/OpenMed-NER-GenomicDetect-TinyMed-65M | OpenMed | null | 88,035 | 501,219 | False | 2025-07-18T08:59:02Z | 2025-08-05T09:45:19Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 65193219}, "total": 65193219} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 4a4a6a9041f8757cc056347037ac669a61ec880c | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"genetics",
"genomics",
"molecular-biology",
"cell-line-name",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 65,193,219 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877f64ffb50792b83c7e70e | 0f8423b4fa6a301e | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 418 | OpenMed/OpenMed-NER-GenomeDetect-BioClinical-108M | OpenMed | null | 32 | 400,694 | False | 2025-07-16T18:58:23Z | 2025-08-05T09:34:33Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 107721987}, "total": 107721987} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | f02631aa10ae3b2d908c0f07c129da185656785d | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"protein-recognition",
"genomics",
"molecular-biology",
"gene/protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 107,721,987 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877feee0b77874763be3e29 | 099fc7b2924a795c | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 453 | OpenMed/OpenMed-NER-SpeciesDetect-TinyMed-65M | OpenMed | null | 87,727 | 499,921 | False | 2025-07-16T19:35:10Z | 2025-08-05T09:36:09Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 65193219}, "total": 65193219} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | d48fec58b4881e61a39318dae2c78f5ecbdc552a | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 65,193,219 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877f65a733834bcbc300133 | afcb510cd7ee6b0c | 8a01c02d4d0a401c | 119,547 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 429 | OpenMed/OpenMed-NER-ChemicalDetect-TinyMed-135M | OpenMed | null | 88,675 | 497,741 | False | 2025-07-16T18:58:34Z | 2025-08-05T09:34:35Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 134736387}, "total": 134736387} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 867ff7bdd5b35bfb844f817da639d92412d04178 | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"chemistry",
"chem",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 134,736,387 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780365fecca065674a38df | 87ec02145bad27f5 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 412 | OpenMed/OpenMed-NER-AnatomyDetect-MultiMed-568M | OpenMed | null | 89,378 | 500,972 | False | 2025-07-16T19:54:13Z | 2025-08-05T09:37:31Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 566708227}, "total": 566708227} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | fd5d70c97106156d2d65a1b0b98cd85811d83aa6 | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 566,708,227 | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687805d4ecad6a553c3444ae | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-DNADetect-ElectraMed-33M | OpenMed | null | 87,953 | 498,408 | False | 2025-07-16T20:04:36Z | 2025-08-05T09:38:15Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 33216395}, "total": 33216395} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | bdab23bbe75e285f798af3cdfe2761aca4815d10 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-recognition",
"gene-recognition",
"molecular-biology",
"genomics",
"dna",
"rna",
"cell_line",
"cell_type",
"protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 33,216,395 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc136468d709f17a5e9 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | deepset/bert-small-mm_retrieval-table_encoder | deepset | null | 2,013 | 192,994 | False | 2022-03-02T23:29:05Z | 2021-10-19T16:22:42Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | d2068c03905e9406dd5c192aef839ce3b938fa1a | [
"transformers",
"pytorch",
"dpr",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DPRContextEncoder"], "model_type": "dpr", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "DPRContextEncoder",
"custom_class": null,
"pipeline_tag": null,
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"DPRContextEncoder",
"dpr"
] | [
null
] | null | null | null |
68780eb66136efdc91e5bcc6 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-OrganismDetect-ElectraMed-335M | OpenMed | null | 89,101 | 500,379 | False | 2025-07-16T20:42:30Z | 2025-08-05T09:41:02Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 21215684eefea7f166f4ef483eb94b3716577e4a | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780b90a8495c5a4386a75b | 87ec02145bad27f5 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 412 | OpenMed/OpenMed-NER-GenomeDetect-MultiMed-568M | OpenMed | null | 87,909 | 496,700 | False | 2025-07-16T20:29:04Z | 2025-08-05T09:40:04Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 566708227}, "total": 566708227} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | a3180a5f23f5a50571ba45d9f2543676446cf4f0 | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"protein-recognition",
"genomics",
"molecular-biology",
"gene/protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"regio... | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 566,708,227 | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687802b626f64d5d89fe457d | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-AnatomyDetect-SuperMedical-125M | OpenMed | null | 88,893 | 500,472 | False | 2025-07-16T19:51:18Z | 2025-08-05T09:37:21Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 124057347}, "total": 124057347} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 290a4a9bfc861153b10c0677633823bf48a43053 | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 124,057,347 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68781370ecad6a553c370262 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-DNADetect-ModernMed-395M | OpenMed | null | 89,053 | 500,859 | False | 2025-07-16T21:02:40Z | 2025-08-05T09:42:36Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 395842571}, "total": 395842571} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 9fed6e360cd0961392b9a14150fa380f2b9f519b | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-recognition",
"gene-recognition",
"molecular-biology",
"genomics",
"dna",
"rna",
"cell_line",
"cell_type",
"protein",
"en",
"arxiv:2508.01630",
"license:apach... | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 395,842,571 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780f989b793690a76fc20a | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-OncologyDetect-TinyMed-82M | OpenMed | null | 88,982 | 498,019 | False | 2025-07-16T20:46:16Z | 2025-08-05T09:41:23Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 81553185}, "total": 81553185} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | b6188adf9aa3f1d450eb925fb67226dbc3e19be2 | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"cancer-genetics",
"oncology",
"gene-regulation",
"cancer-research",
"amino_acid",
"anatomical_system",
"cancer",
"cell",
"cellular_component",
"developing_anatomical_structu... | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 81,553,185 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878113b1b47e4c62ced3372 | e034328a2d067fa5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 237 | OpenMed/OpenMed-NER-GenomicDetect-SuperClinical-434M | OpenMed | null | 89,176 | 501,196 | False | 2025-07-16T20:53:15Z | 2025-08-05T09:41:55Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 434015235}, "total": 434015235} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"spm.model",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 8a9a5ebc037d663679409edb03b873a86139b691 | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"genetics",
"genomics",
"molecular-biology",
"cell-line-name",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DebertaV2ForTokenClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 434,015,235 | null | null | [
"DebertaV2ForTokenClassification",
"AutoModelForTokenClassification",
"deberta-v2"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68781688284703651193af6e | 87ec02145bad27f5 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 412 | OpenMed/OpenMed-NER-SpeciesDetect-MultiMed-568M | OpenMed | null | 88,424 | 497,785 | False | 2025-07-16T21:15:52Z | 2025-08-05T09:43:28Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 566708227}, "total": 566708227} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 7f9018288f50ba90ee6d1cb231282028ff451b11 | [
"transformers",
"safetensors",
"xlm-roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForTokenClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 566,708,227 | null | null | [
"XLMRobertaForTokenClassification",
"AutoModelForTokenClassification",
"xlm-roberta"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68781730d4d3cb370d0f9e7c | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-SpeciesDetect-SuperMedical-355M | OpenMed | null | 87,421 | 497,279 | False | 2025-07-16T21:18:40Z | 2025-08-05T09:43:38Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 354313219}, "total": 354313219} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 8db3e2164f0774fea532e00585c2c9f4bda7b5fb | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 354,313,219 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687809a8a6762654acbf9848 | b832328b962dff78 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 728 | OpenMed/OpenMed-NER-PathologyDetect-SuperMedical-125M | OpenMed | null | 87,708 | 496,954 | False | 2025-07-16T20:20:56Z | 2025-08-05T09:39:28Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 124057347}, "total": 124057347} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 83bd91122f300b6568301947feb24a6905580715 | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"ncbi",
"pathology",
"disease",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 124,057,347 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878120a8d4d70da520a1569 | 0f8423b4fa6a301e | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 418 | OpenMed/OpenMed-NER-BloodCancerDetect-BioPatient-108M | OpenMed | null | 89,145 | 500,804 | False | 2025-07-16T20:56:42Z | 2025-08-05T09:42:08Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 107721987}, "total": 107721987} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 59490f8e61df872d2859d04eefdc7fd9ed4d8ee2 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"leukemia",
"hematology",
"cancer",
"clinical-medicine",
"cl",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 107,721,987 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877fd617fe921645bcbb9d5 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-OrganismDetect-ElectraMed-33M | OpenMed | null | 89,299 | 499,505 | False | 2025-07-16T19:28:33Z | 2025-08-05T09:35:36Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 33213315}, "total": 33213315} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 2299c5d285040923328d63a16f3c292beb1ca338 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 33,213,315 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877fc8bfecca0656748c907 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-SpeciesDetect-ElectraMed-335M | OpenMed | null | 89,929 | 561,809 | False | 2025-07-16T19:24:59Z | 2025-08-05T09:35:18Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334095363}, "total": 334095363} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | c1fa0d9da1902980972719e5256f0f235d631ac2 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,095,363 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687811e5a6762654acc14528 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-DNADetect-ElectraMed-335M | OpenMed | null | 89,605 | 498,689 | False | 2025-07-16T20:56:05Z | 2025-08-05T09:42:07Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334103563}, "total": 334103563} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 7b4bafc93a3c33a0225162b67fe8af69f9108b07 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-recognition",
"gene-recognition",
"molecular-biology",
"genomics",
"dna",
"rna",
"cell_line",
"cell_type",
"protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,103,563 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687808ade99748b15947fe92 | f7ed65105a0ae1a3 | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 735 | OpenMed/OpenMed-NER-PathologyDetect-BioPatient-108M | OpenMed | null | 88,832 | 498,615 | False | 2025-07-16T20:16:45Z | 2025-08-05T09:39:09Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 107721987}, "total": 107721987} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | c8c0bd19993d665eb1620ff7023afe876b234519 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"disease-entity-recognition",
"medical-diagnosis",
"ncbi",
"pathology",
"disease",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 107,721,987 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687811c1df827e82a9a7899c | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-DNADetect-PubMed-335M | OpenMed | null | 89,842 | 500,348 | False | 2025-07-16T20:55:29Z | 2025-08-05T09:42:05Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 334103563}, "total": 334103563} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | a9bfc47a9a73217622aa6bc240db196936948b55 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-recognition",
"gene-recognition",
"molecular-biology",
"genomics",
"dna",
"rna",
"cell_line",
"cell_type",
"protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 334,103,563 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6877f664625f534f268917c6 | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-OncologyDetect-SuperMedical-125M | OpenMed | null | 89,480 | 501,038 | False | 2025-07-16T18:58:44Z | 2025-08-05T09:34:37Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 124080417}, "total": 124080417} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 59149cd981a4ecd82bec7f022c2d1c65d83baf2f | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"cancer-genetics",
"oncology",
"gene-regulation",
"cancer-research",
"amino_acid",
"anatomical_system",
"cancer",
"cell",
"cellular_component",
"developing_anatomical_structu... | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 124,080,417 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687807a0bf69453f5af76987 | 5b8a6156b5b6e013 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 37 | OpenMed/OpenMed-NER-ProteinDetect-ElectraMed-109M | OpenMed | null | 89,622 | 499,669 | False | 2025-07-16T20:12:16Z | 2025-08-05T09:38:51Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108900107}, "total": 108900107} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | e9639238daa274663a8e26a78e7fd9c85a3bd431 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-interactions",
"molecular-biology",
"biochemistry",
"systems-biology",
"protein",
"protein_complex",
"protein_enum",
"protein_familiy_or_group",
"protein_variant",
"en"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,900,107 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687807ed48069a4690541fc0 | fce4c9c0fb3bed35 | 1e78464774d502ca | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 658 | OpenMed/OpenMed-NER-GenomicDetect-EuroMed-212M | OpenMed | null | 32 | 396,594 | False | 2025-07-16T20:13:33Z | 2025-08-05T09:38:57Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 211768323}, "total": 211768323} | [
".gitattributes",
"README.md",
"config.json",
"configuration_eurobert.py",
"model.safetensors",
"modeling_eurobert.py",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 18431a072f3b5291a6bae1916246cbf7229c5a5d | [
"transformers",
"safetensors",
"eurobert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"genetics",
"genomics",
"molecular-biology",
"cell-line-name",
"custom_code",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"... | null | {"architectures": ["EuroBertForTokenClassification"], "auto_map": {"AutoConfig": "configuration_eurobert.EuroBertConfig", "AutoModel": "modeling_eurobert.EuroBertModel", "AutoModelForMaskedLM": "modeling_eurobert.EuroBertForMaskedLM", "AutoModelForPreTraining": "modeling_eurobert.EuroBertPreTrainedModel", "AutoModelFor... | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 211,768,323 | null | null | [
"AutoModelForTokenClassification",
"EuroBertForTokenClassification",
"eurobert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687816e58d4d70da520b2265 | 0f8423b4fa6a301e | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 418 | OpenMed/OpenMed-NER-AnatomyDetect-BioPatient-108M | OpenMed | null | 12,620 | 246,047 | False | 2025-07-16T21:17:25Z | 2025-08-05T09:43:33Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 107721987}, "total": 107721987} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | db03184911596a30b631ceb33d2009da940b8e29 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"anatomical-entity-recognition",
"medical-terminology",
"anatomy",
"healthcare",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 107,721,987 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780d5428a640919bb66021 | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-PharmaDetect-TinyMed-82M | OpenMed | null | 88,758 | 497,545 | False | 2025-07-16T20:36:36Z | 2025-08-05T09:40:33Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 81530115}, "total": 81530115} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 9e706a03b8ae6a9dd9a14e60acb16b20b85d3c70 | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"chemical-entity-recognition",
"drug-discovery",
"pharmacology",
"biocuration",
"chem",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 81,530,115 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878041e23c030042d122faf | 0f8423b4fa6a301e | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 418 | OpenMed/OpenMed-NER-GenomeDetect-BioPatient-108M | OpenMed | null | 89,723 | 500,062 | False | 2025-07-16T19:57:18Z | 2025-08-05T09:37:43Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 107721987}, "total": 107721987} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 66c94c46ef53dcc864f7392b48b6e896d2fdd566 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"protein-recognition",
"genomics",
"molecular-biology",
"gene/protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 107,721,987 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878089a9b793690a76e55e4 | afcb510cd7ee6b0c | 8a01c02d4d0a401c | 119,547 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 429 | OpenMed/OpenMed-NER-GenomicDetect-TinyMed-135M | OpenMed | null | 88,157 | 495,524 | False | 2025-07-16T20:16:26Z | 2025-08-05T09:39:08Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 134736387}, "total": 134736387} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 1c8de464eb896d1935e4ce38ebd7bce97ee43ee3 | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"genetics",
"genomics",
"molecular-biology",
"cell-line-name",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 134,736,387 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687816326136efdc91e75257 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-DNADetect-ModernClinical-395M | OpenMed | null | 12,623 | 245,646 | False | 2025-07-16T21:14:26Z | 2025-08-05T09:43:23Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 395842571}, "total": 395842571} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 22cd85369395a18088f467bd80ccb74d67b35406 | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-recognition",
"gene-recognition",
"molecular-biology",
"genomics",
"dna",
"rna",
"cell_line",
"cell_type",
"protein",
"en",
"arxiv:2508.01630",
"license:apach... | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 395,842,571 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687815e22af50838f80e8aab | 247b76e6aa48f448 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 432 | OpenMed/OpenMed-NER-SpeciesDetect-SuperMedical-125M | OpenMed | null | 12,584 | 245,972 | False | 2025-07-16T21:13:06Z | 2025-08-05T09:43:15Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 124057347}, "total": 124057347} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 0af77fc7929290b8835df9462be7823a5900e9f5 | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 124,057,347 | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780c304be53e1430e3f0fa | e034328a2d067fa5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 237 | OpenMed/OpenMed-NER-ProteinDetect-SuperClinical-184M | OpenMed | null | 88,002 | 498,326 | False | 2025-07-16T20:31:44Z | 2025-08-05T09:40:16Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 183840011}, "total": 183840011} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"spm.model",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 084363612b657cc575a3c70fa2682da4c897da6f | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-interactions",
"molecular-biology",
"biochemistry",
"systems-biology",
"protein",
"protein_complex",
"protein_enum",
"protein_familiy_or_group",
"protein_variant",
... | null | {"architectures": ["DebertaV2ForTokenClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 183,840,011 | null | null | [
"DebertaV2ForTokenClassification",
"AutoModelForTokenClassification",
"deberta-v2"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a091f5b883387135db3f3 | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-OncologyDetect-BioMed-109M | OpenMed | null | 7 | 231,659 | False | 2025-07-18T08:43:11Z | 2025-08-05T09:44:16Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108917025}, "total": 108917025} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | f40874882e99f4966fc497b38c38bc74a77a075d | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"cancer-genetics",
"oncology",
"gene-regulation",
"cancer-research",
"amino_acid",
"anatomical_system",
"cancer",
"cell",
"cellular_component",
"developing_anatomical_structure"... | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,917,025 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a086275589c7abd3c1dd8 | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-GenomeDetect-PubMed-v2-109M | OpenMed | null | 12,662 | 246,025 | False | 2025-07-18T08:40:02Z | 2025-08-05T09:44:00Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108893955}, "total": 108893955} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 1f91cfa260db1f404e144ca0d1f6a3c3c82a995d | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"protein-recognition",
"genomics",
"molecular-biology",
"gene/protein",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,893,955 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687a0887b196a40a0352e7c0 | b3310d158ab6e0dc | 66be3297e0980489 | 28,895 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 409 | OpenMed/OpenMed-NER-SpeciesDetect-PubMed-v2-109M | OpenMed | null | 12,759 | 246,087 | False | 2025-07-18T08:40:39Z | 2025-08-05T09:44:04Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 108893955}, "total": 108893955} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | a8729f5d7f96e1bdf924d74164779e2e6e1c7368 | [
"transformers",
"safetensors",
"bert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 108,893,955 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687817804b9e0136eaa13c34 | afcb510cd7ee6b0c | 8a01c02d4d0a401c | 119,547 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 429 | OpenMed/OpenMed-NER-BloodCancerDetect-TinyMed-135M | OpenMed | null | 12,536 | 245,391 | False | 2025-07-16T21:20:00Z | 2025-08-05T09:43:44Z | transformers | 2 | 0 | null | token-classification | {"parameters": {"BF16": 134736387}, "total": 134736387} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 04cbd4595239ee1871db8003be681dfde6f3e380 | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"leukemia",
"hematology",
"cancer",
"clinical-medicine",
"cl",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 134,736,387 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878171b97ff766c3e7a17d6 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-ProteinDetect-ModernClinical-149M | OpenMed | null | 12,677 | 245,822 | False | 2025-07-16T21:18:19Z | 2025-08-05T09:43:37Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 149613323}, "total": 149613323} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 4e3ac231e226460579108a983bf9667c1fc0b1ce | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-interactions",
"molecular-biology",
"biochemistry",
"systems-biology",
"protein",
"protein_complex",
"protein_enum",
"protein_familiy_or_group",
"protein_variant",
... | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 149,613,323 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68782886ffa5c093fdc539fc | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-SpeciesDetect-ModernClinical-149M | OpenMed | null | 12,594 | 245,983 | False | 2025-07-16T22:32:38Z | 2025-08-05T09:43:48Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 149607171}, "total": 149607171} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 35450121e81f70c88dc712aa71d22f1d02061ca2 | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biology",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 149,607,171 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780b552ff9d3ff391dd1a8 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-GenomicDetect-ModernMed-149M | OpenMed | null | 90,418 | 502,441 | False | 2025-07-16T20:28:05Z | 2025-08-05T09:40:00Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 149607171}, "total": 149607171} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | af23856a6e31a8480bb4f9d52c652c0b8534d0aa | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"gene-recognition",
"genetics",
"genomics",
"molecular-biology",
"cell-line-name",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 149,607,171 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68780444e9c60f49b02a3510 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-OrganismDetect-ModernClinical-149M | OpenMed | null | 88,976 | 498,861 | False | 2025-07-16T19:57:56Z | 2025-08-05T09:37:47Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 149607171}, "total": 149607171} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 8a65f0957b75c5d4bba6f778969c7227bca1bbb5 | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"species-recognition",
"taxonomy",
"organism-identification",
"biodiversity",
"species",
"en",
"arxiv:2508.01630",
"license:apache-2.0",
"endpoints_compatible",
"region:us... | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 149,607,171 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6878054f362d1a11aedffed4 | 6a67cbd79bab1e59 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 395 | OpenMed/OpenMed-NER-ProteinDetect-ModernClinical-395M | OpenMed | null | 86,631 | 495,235 | False | 2025-07-16T20:02:23Z | 2025-08-05T09:38:06Z | transformers | 0 | 0 | null | token-classification | {"parameters": {"BF16": 395842571}, "total": 395842571} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 025377c1ed42ef9b7fc20d36978fd04848ccb8e0 | [
"transformers",
"safetensors",
"modernbert",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"protein-interactions",
"molecular-biology",
"biochemistry",
"systems-biology",
"protein",
"protein_complex",
"protein_enum",
"protein_familiy_or_group",
"protein_variant",
... | null | {"architectures": ["ModernBertForTokenClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 395,842,571 | null | null | [
"AutoModelForTokenClassification",
"ModernBertForTokenClassification",
"modernbert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
64274891aef569700e8c303c | 29b74581e5b1cac7 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 736 | Mel-Iza0/zero-shot | Mel-Iza0 | null | 71 | 189,106 | False | 2023-03-31T20:54:41Z | 2023-03-31T21:16:13Z | transformers | 2 | 0 | null | zero-shot-classification | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spm.model",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | e5fb57ac3b9985b258620cba1d63c94ea65ccafd | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"deberta-v3",
"zero-shot-classification",
"zero-shot",
"pt",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["DebertaV2ForSequenceClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["pt"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["deberta-v3", "zero-shot-classification", "zero-shot"]} | How to use
```
classifier = pipeline("zero-shot-classification",
model='Mel-Iza0/zero-shot', tokenizer='Mel-Iza0/zero-shot')
#sorry for below lines
classes = []
for i in item.classes:
classes.extend(item.classes[i])
a = classifier(item.text,
classes,
hypothesis=hypothesis_template)['labels'][-1]
print('----------------... | null | null | null | [
"pt"
] | null | null | null | [
"AutoModelForSequenceClassification",
"deberta-v2",
"DebertaV2ForSequenceClassification"
] | [
"zero-shot-classification",
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.