modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Salesforce/blip2-flan-t5-xxl | 2023-09-13T08:46:29.000Z | [
"transformers",
"pytorch",
"blip-2",
"visual-question-answering",
"vision",
"image-to-text",
"image-captioning",
"en",
"arxiv:2301.12597",
"arxiv:2210.11416",
"license:mit",
"has_space",
"region:us"
] | image-to-text | Salesforce | null | null | Salesforce/blip2-flan-t5-xxl | 63 | 20,904 | transformers | 2023-02-09T09:10:14 | ---
language: en
license: mit
tags:
- vision
- image-to-text
- image-captioning
- visual-question-answering
pipeline_tag: image-to-text
inference: false
---
# BLIP-2, Flan T5-xxl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xxl](https://huggingface.co/google/flan-t5-xxl) (a large language model).
It was introd... | 6,578 | [
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DionTimmer/controlnet_qrcode | 2023-06-17T16:33:13.000Z | [
"diffusers",
"stable-diffusion",
"controlnet",
"en",
"license:openrail++",
"diffusers:ControlNetModel",
"region:us"
] | null | DionTimmer | null | null | DionTimmer/controlnet_qrcode | 280 | 20,853 | diffusers | 2023-06-15T02:23:37 | ---
tags:
- stable-diffusion
- controlnet
license: openrail++
language:
- en
---
# QR Code Conditioned ControlNet Models for Stable Diffusion 1.5 and 2.1
## Model Description
These ControlNet models have been trained on a large dataset of 150,000 QR code + QR code artwork couples. They provide a sol... | 5,131 | [
[
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0... |
microsoft/swin-base-patch4-window7-224-in22k | 2023-06-27T10:46:44.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"swin",
"image-classification",
"vision",
"dataset:imagenet-21k",
"arxiv:2103.14030",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | microsoft | null | null | microsoft/swin-base-patch4-window7-224-in22k | 11 | 20,830 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: http... | 3,729 | [
[
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deepset/minilm-uncased-squad2 | 2023-07-20T06:39:35.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:squad_v2",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/minilm-uncased-squad2 | 38 | 20,829 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: cc-by-4.0
datasets:
- squad_v2
model-index:
- name: deepset/minilm-uncased-squad2
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
split: validation
metrics:
- type: ex... | 5,155 | [
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google/vit-large-patch32-384 | 2022-01-28T10:24:24.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"vit",
"image-classification",
"vision",
"dataset:imagenet",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | google | null | null | google/vit-large-patch32-384 | 6 | 20,778 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
- imagenet-21k
---
# Vision Transformer (large-sized model)
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224, and fine-tuned on ImageNet 2012 (1 million images, 1,000... | 5,476 | [
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julien-c/bert-xsmall-dummy | 2021-05-19T20:53:10.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | julien-c | null | null | julien-c/bert-xsmall-dummy | 0 | 20,764 | transformers | 2022-03-02T23:29:05 | ## How to build a dummy model
```python
from transformers BertConfig, BertForMaskedLM, BertTokenizer, TFBertForMaskedLM
SMALL_MODEL_IDENTIFIER = "julien-c/bert-xsmall-dummy"
DIRNAME = "./bert-xsmall-dummy"
config = BertConfig(10, 20, 1, 1, 40)
model = BertForMaskedLM(config)
model.save_pretrained(DIRNAME)
tf_mode... | 539 | [
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0.00071... |
apple/mobilevit-small | 2022-08-29T07:57:51.000Z | [
"transformers",
"pytorch",
"tf",
"coreml",
"mobilevit",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2110.02178",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | apple | null | null | apple/mobilevit-small | 27 | 20,740 | transformers | 2022-05-30T12:43:23 | ---
license: other
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://hu... | 4,808 | [
[
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-0... |
WizardLM/WizardCoder-15B-V1.0 | 2023-09-09T06:43:22.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"arxiv:2306.08568",
"arxiv:2304.12244",
"arxiv:2308.09583",
"license:bigscience-openrail-m",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | WizardLM | null | null | WizardLM/WizardCoder-15B-V1.0 | 655 | 20,716 | transformers | 2023-06-14T10:43:19 | ---
license: bigscience-openrail-m
metrics:
- code_eval
library_name: transformers
tags:
- code
model-index:
- name: WizardCoder
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
type: pass@1
value: 0.573
ve... | 18,114 | [
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... |
Open-Orca/OpenOrca-Platypus2-13B | 2023-09-24T18:02:39.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"dataset:Open-Orca/OpenOrca",
"arxiv:2308.07317",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:u... | text-generation | Open-Orca | null | null | Open-Orca/OpenOrca-Platypus2-13B | 209 | 20,659 | transformers | 2023-08-11T19:17:41 | ---
language:
- en
datasets:
- garage-bAInd/Open-Platypus
- Open-Orca/OpenOrca
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
<p><h1>🐋 The First OrcaPlatypus! 🐋</h1></p>
... | 10,817 | [
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cambridgeltl/sst_mobilebert-uncased | 2022-11-04T19:20:23.000Z | [
"transformers",
"pytorch",
"mobilebert",
"text-classification",
"arxiv:2004.02984",
"endpoints_compatible",
"region:us"
] | text-classification | cambridgeltl | null | null | cambridgeltl/sst_mobilebert-uncased | 1 | 20,644 | transformers | 2022-03-14T14:35:36 | This model provides a MobileBERT [(Sun et al., 2020)](https://arxiv.org/abs/2004.02984) fine-tuned on the SST data with three sentiments (0 -- negative, 1 -- neutral, and 2 -- positive).
## Example Usage
Below, we provide illustrations on how to use this model to make sentiment predictions.
```python
import torch... | 1,721 | [
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jonatasgrosman/wav2vec2-large-xlsr-53-polish | 2022-12-14T01:57:56.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"pl",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"lice... | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-large-xlsr-53-polish | 2 | 20,639 | transformers | 2022-03-02T23:29:05 | ---
language: pl
license: apache-2.0
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- pl
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... | 5,203 | [
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naver-clova-ix/donut-base-finetuned-docvqa | 2022-09-21T12:50:31.000Z | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"donut",
"image-to-text",
"vision",
"document-question-answering",
"arxiv:2111.15664",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | document-question-answering | naver-clova-ix | null | null | naver-clova-ix/donut-base-finetuned-docvqa | 73 | 20,593 | transformers | 2022-07-19T13:58:22 | ---
license: mit
pipeline_tag: document-question-answering
tags:
- donut
- image-to-text
- vision
widget:
- text: "What is the invoice number?"
src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png"
- text: "What is the purchase amount?"
src: "https://huggi... | 2,391 | [
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cag/anything-v3-1 | 2023-02-18T09:57:07.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"dataset:cag/anything-v3-1-dataset",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | cag | null | null | cag/anything-v3-1 | 70 | 20,512 | diffusers | 2023-01-29T00:20:42 | ---
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/cag/anything-v3-1/resolve/main/example-images/thumbnail.png"
language:
- en
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
inference: true
widget:
- text: >-
masterpiece, best quality, 1girl, brown hair, green e... | 7,152 | [
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timm/caformer_s18.sail_in1k | 2023-05-05T05:48:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2210.13452",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/caformer_s18.sail_in1k | 0 | 20,447 | timm | 2023-05-05T05:47:43 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for caformer_s18.sail_in1k
A CAFormer (a MetaFormer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
-... | 3,630 | [
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togethercomputer/RedPajama-INCITE-Instruct-3B-v1 | 2023-05-09T14:59:36.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:Muennighoff/P3",
"dataset:Muennighoff/natural-instructions",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | togethercomputer | null | null | togethercomputer/RedPajama-INCITE-Instruct-3B-v1 | 85 | 20,358 | transformers | 2023-05-05T05:12:00 | ---
license: apache-2.0
language:
- en
datasets:
- togethercomputer/RedPajama-Data-1T
- Muennighoff/P3
- Muennighoff/natural-instructions
widget:
- text: "Label the tweets as either 'positive', 'negative', 'mixed', or 'neutral': \n\nTweet: I can say that there isn't anything I would change.\nLabel: positive\n\nTweet: I... | 11,559 | [
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medicalai/ClinicalBERT | 2023-09-15T08:46:54.000Z | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"medical",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | medicalai | null | null | medicalai/ClinicalBERT | 79 | 20,300 | transformers | 2023-03-19T15:04:41 | ---
tags:
- medical
---
# ClinicalBERT
<!-- Provide a quick summary of what the model is/does. -->
This model card describes the ClinicalBERT model, which was trained on a large multicenter dataset with a large corpus of 1.2B words of diverse diseases we constructed.
We then utilized a large-scale corpus of EHRs from... | 1,583 | [
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facebook/dino-vits16 | 2023-05-22T07:05:10.000Z | [
"transformers",
"pytorch",
"vit",
"feature-extraction",
"dino",
"vision",
"dataset:imagenet-1k",
"arxiv:2104.14294",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | facebook | null | null | facebook/dino-vits16 | 10 | 20,230 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- dino
- vision
datasets:
- imagenet-1k
---
# Vision Transformer (small-sized model, patch size 16) trained using DINO
Vision Transformer (ViT) model trained using the DINO method. It was introduced in the paper [Emerging Properties in Self-Supervised Vision Transformers](https://arxiv.... | 3,260 | [
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KoboldAI/OPT-6.7B-Erebus | 2022-09-19T06:55:22.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/OPT-6.7B-Erebus | 86 | 20,230 | transformers | 2022-09-15T06:27:38 | ---
language: en
license: other
commercial: no
inference: false
---
# OPT 6.7B - Erebus
## Model description
This is the second generation of the original Shinen made by Mr. Seeker. The full dataset consists of 6 different sources, all surrounding the "Adult" theme. The name "Erebus" comes from the greek mythology, als... | 2,398 | [
[
-0.028167724609375,
-0.043670654296875,
0.01058197021484375,
0.01139068603515625,
-0.018707275390625,
-0.031280517578125,
-0.0256805419921875,
-0.0313720703125,
0.0232086181640625,
0.05621337890625,
-0.059326171875,
-0.02935791015625,
-0.027984619140625,
0.0... |
flair/ner-spanish-large | 2021-05-08T15:36:59.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"es",
"dataset:conll2003",
"arxiv:2011.06993",
"region:us"
] | token-classification | flair | null | null | flair/ner-spanish-large | 8 | 20,154 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: es
datasets:
- conll2003
widget:
- text: "George Washington fue a Washington"
---
## Spanish NER in Flair (large model)
This is the large 4-class NER model for Spanish that ships with [Flair](https://github.com/flairNLP/flair/).
F1-Score: **9... | 3,640 | [
[
-0.03509521484375,
-0.03680419921875,
0.0161895751953125,
0.0155181884765625,
-0.0044403076171875,
-0.005855560302734375,
-0.020477294921875,
-0.03851318359375,
0.040802001953125,
0.0272369384765625,
-0.03582763671875,
-0.045928955078125,
-0.036224365234375,
... |
stablediffusionapi/lob-realvisxl-v20 | 2023-10-08T08:39:08.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us",
"has_space"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/lob-realvisxl-v20 | 2 | 20,146 | diffusers | 2023-10-08T08:35:45 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# lob-RealVisXL V2.0 API Inference
## G... | 2,498 | [
[
-0.0384521484375,
-0.06915283203125,
0.039154052734375,
0.0223846435546875,
-0.03607177734375,
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0.0287933349609375,
-0.0496826171875,
0.044342041015625,
0.04559326171875,
-0.0640869140625,
-0.05889892578125,
-0.0229034423828125,
-0.01146697... |
TheBloke/vicuna-7B-v1.5-GPTQ | 2023-09-27T12:45:19.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2307.09288",
"arxiv:2306.05685",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/vicuna-7B-v1.5-GPTQ | 12 | 20,060 | transformers | 2023-08-03T09:33:20 | ---
license: llama2
model_name: Vicuna 7B v1.5
base_model: lmsys/vicuna-7b-v1.5
inference: false
model_creator: lmsys
model_type: llama
prompt_template: 'A chat between a curious user and an artificial intelligence assistant.
The assistant gives helpful, detailed, and polite answers to the user''s questions.
USER: ... | 16,689 | [
[
-0.040252685546875,
-0.060394287109375,
0.01453399658203125,
0.01227569580078125,
-0.024322509765625,
-0.01517486572265625,
0.007415771484375,
-0.040252685546875,
0.0197906494140625,
0.030029296875,
-0.049774169921875,
-0.038299560546875,
-0.0221405029296875,
... |
microsoft/resnet-18 | 2023-05-08T11:19:40.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"resnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1512.03385",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | microsoft | null | null | microsoft/resnet-18 | 26 | 20,043 | transformers | 2022-03-16T15:40:26 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: htt... | 2,260 | [
[
-0.04949951171875,
-0.00859832763671875,
-0.006069183349609375,
-0.004730224609375,
-0.0182342529296875,
-0.01434326171875,
0.006534576416015625,
-0.047515869140625,
0.024017333984375,
0.040069580078125,
-0.0440673828125,
-0.0228118896484375,
-0.036895751953125,... |
Crosstyan/BPModel | 2023-05-31T10:02:50.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"safetensors",
"en",
"dataset:Crosstyan/BPDataset",
"arxiv:2212.03860",
"doi:10.57967/hf/0223",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region... | text-to-image | Crosstyan | null | null | Crosstyan/BPModel | 143 | 19,972 | diffusers | 2022-12-20T11:55:42 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- safetensors
inference: true
thumbnail: https://s2.loli.net/2023/05/31/bl27yWANrT3asoG.png
widget:
- text: >-
1girl with blonde two side up disheveled hair red eyes in black serafuku red
ribb... | 14,302 | [
[
-0.045257568359375,
-0.0531005859375,
0.027130126953125,
0.0129547119140625,
-0.040802001953125,
-0.00745391845703125,
0.0035381317138671875,
-0.0439453125,
0.042877197265625,
0.036376953125,
-0.0245361328125,
-0.0333251953125,
-0.053375244140625,
-0.0010204... |
cross-encoder/nli-deberta-v3-small | 2021-12-27T22:27:07.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"text-classification",
"microsoft/deberta-v3-small",
"zero-shot-classification",
"en",
"dataset:multi_nli",
"dataset:snli",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | cross-encoder | null | null | cross-encoder/nli-deberta-v3-small | 5 | 19,944 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: zero-shot-classification
tags:
- microsoft/deberta-v3-small
datasets:
- multi_nli
- snli
metrics:
- accuracy
license: apache-2.0
---
# Cross-Encoder for Natural Language Inference
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net... | 2,784 | [
[
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-0.058258056640625,
0.0244140625,
0.0198974609375,
-0.0005087852478027344,
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-0.005123138427734375,
-0.025726318359375,
0.0133514404296875,
0.033050537109375,
-0.03961181640625,
-0.037750244140625,
-0.043548583984375,
0.0... |
flair/ner-german-large | 2022-08-28T09:08:06.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"de",
"dataset:conll2003",
"arxiv:2011.06993",
"region:us"
] | token-classification | flair | null | null | flair/ner-german-large | 23 | 19,887 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: de
datasets:
- conll2003
widget:
- text: "George Washington ging nach Washington"
---
## German NER in Flair (large model)
This is the large 4-class NER model for German that ships with [Flair](https://github.com/flairNLP/flair/).
F1-Score: *... | 3,652 | [
[
-0.04022216796875,
-0.042633056640625,
0.0225677490234375,
-0.0005893707275390625,
-0.008270263671875,
-0.0130615234375,
-0.0202178955078125,
-0.035247802734375,
0.02996826171875,
0.0212860107421875,
-0.03558349609375,
-0.044586181640625,
-0.037628173828125,
... |
facebook/wav2vec2-xls-r-300m | 2022-08-10T08:11:47.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"pretraining",
"speech",
"xls_r",
"xls_r_pretrained",
"multilingual",
"ab",
"af",
"sq",
"am",
"ar",
"hy",
"as",
"az",
"ba",
"eu",
"be",
"bn",
"bs",
"br",
"bg",
"my",
"yue",
"ca",
"ceb",
"km",
"zh",
"cv",
"hr",
"cs",... | null | facebook | null | null | facebook/wav2vec2-xls-r-300m | 45 | 19,835 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- ab
- af
- sq
- am
- ar
- hy
- as
- az
- ba
- eu
- be
- bn
- bs
- br
- bg
- my
- yue
- ca
- ceb
- km
- zh
- cv
- hr
- cs
- da
- dv
- nl
- en
- eo
- et
- fo
- fi
- fr
- gl
- lg
- ka
- de
- el
- gn
- gu
- ht
- cnh
- ha
- haw
- he
- hi
- hu
- is
- id
- ia
- ga
- it
- ja
- jv
- kb
- kn
- kk
... | 3,735 | [
[
-0.0233154296875,
-0.04510498046875,
0.00827789306640625,
0.0140838623046875,
-0.01861572265625,
-0.00789642333984375,
-0.037353515625,
-0.0423583984375,
-0.01043701171875,
0.0259857177734375,
-0.04278564453125,
-0.031890869140625,
-0.058319091796875,
0.0108... |
togethercomputer/Llama-2-7B-32K-Instruct | 2023-10-03T17:37:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"en",
"dataset:togethercomputer/llama-instruct",
"arxiv:2307.03172",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | togethercomputer | null | null | togethercomputer/Llama-2-7B-32K-Instruct | 127 | 19,809 | transformers | 2023-08-08T20:22:27 | ---
license: llama2
language:
- en
library_name: transformers
datasets:
- togethercomputer/llama-instruct
---
# Llama-2-7B-32K-Instruct
## Model Description
Llama-2-7B-32K-Instruct is an open-source, long-context chat model finetuned from [Llama-2-7B-32K](https://huggingface.co/togethercomputer/Llama-2-7B-32K), over... | 7,157 | [
[
-0.030120849609375,
-0.063232421875,
0.0202789306640625,
0.036895751953125,
-0.034912109375,
0.007480621337890625,
-0.006855010986328125,
-0.0560302734375,
0.0555419921875,
0.0288848876953125,
-0.041656494140625,
-0.04327392578125,
-0.048370361328125,
0.0051... |
roberta-base-openai-detector | 2023-04-30T22:40:50.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"roberta",
"text-classification",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1904.09751",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | null | null | null | roberta-base-openai-detector | 82 | 19,782 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: mit
tags:
- exbert
datasets:
- bookcorpus
- wikipedia
---
# RoBERTa Base OpenAI Detector
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Environment... | 9,705 | [
[
-0.0191497802734375,
-0.061187744140625,
0.0355224609375,
-0.016357421875,
-0.024078369140625,
-0.03515625,
-0.017669677734375,
-0.0615234375,
-0.033660888671875,
0.0278167724609375,
-0.0194854736328125,
-0.0273284912109375,
-0.071044921875,
-0.0085906982421... |
mosaicml/mpt-30b-chat | 2023-10-30T21:54:39.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"Composer",
"MosaicML",
"llm-foundry",
"custom_code",
"dataset:camel-ai/code",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"dataset:anon8231489123/ShareGPT_Vicuna_unfiltered",
"dataset:teknium1/GPTeacher/roleplay-instruct-v2-final",
... | text-generation | mosaicml | null | null | mosaicml/mpt-30b-chat | 190 | 19,706 | transformers | 2023-06-09T20:01:17 | ---
license: cc-by-nc-sa-4.0
datasets:
- camel-ai/code
- ehartford/wizard_vicuna_70k_unfiltered
- anon8231489123/ShareGPT_Vicuna_unfiltered
- teknium1/GPTeacher/roleplay-instruct-v2-final
- teknium1/GPTeacher/codegen-isntruct
- timdettmers/openassistant-guanaco
- camel-ai/math
- project-baize/baize-chatbot/medical_chat... | 9,866 | [
[
-0.041839599609375,
-0.04974365234375,
0.01349639892578125,
0.0311431884765625,
-0.0130462646484375,
0.00583648681640625,
-0.007541656494140625,
-0.0257720947265625,
-0.003490447998046875,
0.0241851806640625,
-0.046600341796875,
-0.046783447265625,
-0.0484008789... |
swl-models/xiaolxl-guofeng-v3 | 2023-02-01T01:27:23.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | swl-models | null | null | swl-models/xiaolxl-guofeng-v3 | 14 | 19,668 | diffusers | 2023-01-31T15:46:10 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
duplicated_from: xiaolxl/GuoFeng3
---
# 介绍 - GuoFeng3
欢迎使用GuoFeng3模型 - (TIP:这个版本的名字进行了微调),这是一个中国华丽古风风格模型，也可以说是一个古风游戏角色模型，具有2.5D的质感。第三代大幅度减少上手难度，增加了场景元素与男性古风人物，除此之外... | 3,940 | [
[
-0.04400634765625,
-0.04046630859375,
0.017181396484375,
0.03521728515625,
-0.054443359375,
-0.0221710205078125,
0.01050567626953125,
-0.060760498046875,
0.0305328369140625,
0.048431396484375,
-0.03411865234375,
-0.049896240234375,
-0.031829833984375,
0.0149... |
stabilityai/stablelm-3b-4e1t | 2023-10-25T04:43:37.000Z | [
"transformers",
"safetensors",
"stablelm_epoch",
"text-generation",
"causal-lm",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:CarperAI/pilev2-dev",
"dataset:bigcode/starcoderdata",
"dataset:allenai/peS2o",
"arxiv:2307.09288",... | text-generation | stabilityai | null | null | stabilityai/stablelm-3b-4e1t | 225 | 19,620 | transformers | 2023-09-29T06:05:21 | ---
license: cc-by-sa-4.0
datasets:
- tiiuae/falcon-refinedweb
- togethercomputer/RedPajama-Data-1T
- CarperAI/pilev2-dev
- bigcode/starcoderdata
- allenai/peS2o
language:
- en
tags:
- causal-lm
extra_gated_fields:
Name: text
Email: text
Country: text
Organization or Affiliation: text
I ALLOW Stability AI to ... | 6,142 | [
[
-0.032257080078125,
-0.054290771484375,
0.00844573974609375,
0.01715087890625,
-0.0204315185546875,
-0.019775390625,
-0.0153656005859375,
-0.044952392578125,
0.00799560546875,
0.0200347900390625,
-0.035186767578125,
-0.041107177734375,
-0.04583740234375,
0.0... |
optimum/sbert-all-MiniLM-L6-with-pooler | 2022-07-26T13:37:30.000Z | [
"sentence-transformers",
"onnx",
"bert",
"feature-extraction",
"sentence-similarity",
"en",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | optimum | null | null | optimum/sbert-all-MiniLM-L6-with-pooler | 6 | 19,562 | sentence-transformers | 2022-07-26T11:32:55 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# ONNX convert all-MiniLM-L6-v2
## Conversion of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
This is a [sentence... | 9,199 | [
[
-0.030548095703125,
-0.062744140625,
0.026336669921875,
0.004119873046875,
-0.00411224365234375,
-0.0203399658203125,
-0.0166473388671875,
-0.0224456787109375,
0.031707763671875,
0.016448974609375,
-0.035369873046875,
-0.040618896484375,
-0.04437255859375,
0... |
ydshieh/vit-gpt2-coco-en | 2022-09-16T15:06:54.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"vision-encoder-decoder",
"image-to-text",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | ydshieh | null | null | ydshieh/vit-gpt2-coco-en | 26 | 19,555 | transformers | 2022-03-02T23:29:05 | ---
tags:
- image-to-text
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/dog-cat.jpg
example_title: Dog & Cat
---
## Example
The model is by no means a state-... | 2,855 | [
[
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-0.042236328125,
0.0094451904296875,
0.0301513671875,
-0.034698486328125,
-0.014312744140625,
-0.004436492919921875,
-0.042694091796875,
0.0023441314697265625,
0.0236968994140625,
-0.025360107421875,
-0.024688720703125,
-0.0419921875,
0.0... |
immich-app/ViT-B-32__openai | 2023-10-29T03:25:12.000Z | [
"transformers",
"onnx",
"immich",
"clip",
"endpoints_compatible",
"region:us"
] | null | immich-app | null | null | immich-app/ViT-B-32__openai | 0 | 19,536 | transformers | 2023-10-28T00:34:04 | ---
tags:
- immich
- clip
---
# Model Description
This repo contains ONNX exports for the CLIP model [openai/clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32).
It separates the visual and textual encoders into separate models for the purpose of generating image and text embeddings.
This r... | 422 | [
[
-0.029815673828125,
-0.015960693359375,
0.0194244384765625,
0.015716552734375,
-0.0244903564453125,
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0.0161285400390625,
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0.029052734375,
0.07415771484375,
-0.055694580078125,
-0.034637451171875,
-0.014312744140625,
0.0... |
nvidia/mit-b2 | 2022-08-06T10:26:08.000Z | [
"transformers",
"pytorch",
"tf",
"segformer",
"image-classification",
"vision",
"dataset:imagenet_1k",
"arxiv:2105.15203",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | nvidia | null | null | nvidia/mit-b2 | 4 | 19,515 | transformers | 2022-03-02T23:29:05 | ---
license: other
tags:
- vision
datasets:
- imagenet_1k
widget:
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg
example_title: House
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000002.jpg
example_tit... | 3,354 | [
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0... |
grammarly/coedit-large | 2023-10-11T00:27:55.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"en",
"dataset:asset",
"dataset:wi_locness",
"dataset:GEM/wiki_auto_asset_turk",
"dataset:discofuse",
"dataset:zaemyung/IteraTeR_plus",
"dataset:jfleg",
"dataset:grammarly/coedit",
"arxiv:2305.09857",
"license:cc-by-... | text2text-generation | grammarly | null | null | grammarly/coedit-large | 40 | 19,499 | transformers | 2023-05-11T23:57:35 | ---
license: cc-by-nc-4.0
datasets:
- asset
- wi_locness
- GEM/wiki_auto_asset_turk
- discofuse
- zaemyung/IteraTeR_plus
- jfleg
- grammarly/coedit
language:
- en
metrics:
- sari
- bleu
- accuracy
widget:
- text: >-
Fix the grammar: When I grow up, I start to understand what he said is
quite right.
ex... | 3,201 | [
[
-0.00640106201171875,
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avichr/heBERT_sentiment_analysis | 2021-12-31T16:08:22.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"arxiv:1810.04805",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | avichr | null | null | avichr/heBERT_sentiment_analysis | 7 | 19,481 | transformers | 2022-03-02T23:29:05 | ## HeBERT: Pre-trained BERT for Polarity Analysis and Emotion Recognition
HeBERT is a Hebrew pre-trained language model. It is based on Google's BERT architecture and it is BERT-Base config [(Devlin et al. 2018)](https://arxiv.org/abs/1810.04805). <br>
HeBert was trained on three datasets:
1. A Hebrew version of OSCA... | 4,690 | [
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mrm8488/t5-base-finetuned-question-generation-ap | 2023-05-31T10:57:57.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"t5",
"text2text-generation",
"en",
"dataset:squad",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | mrm8488 | null | null | mrm8488/t5-base-finetuned-question-generation-ap | 91 | 19,471 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- squad
widget:
- text: >-
answer: Manuel context: Manuel has created RuPERTa-base with the support of
HF-Transformers and Google
license: apache-2.0
---
# T5-base fine-tuned on SQuAD for **Question Generation**
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-lear... | 4,281 | [
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Yntec/Toonify2 | 2023-08-10T14:06:21.000Z | [
"diffusers",
"anime",
"comic",
"art",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"BetterThanNothing",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Toonify2 | 2 | 19,428 | diffusers | 2023-08-10T13:46:20 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- comic
- art
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- BetterThanNothing
---
# Toonify
Preview and prompt:
![Sample](https://cdn-uploads.huggingface.co/production/u... | 757 | [
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0.02334594726... |
teknium/OpenHermes-2-Mistral-7B | 2023-11-02T21:18:17.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | teknium | null | null | teknium/OpenHermes-2-Mistral-7B | 189 | 19,406 | transformers | 2023-10-12T20:07:15 | ---
base_model: mistralai/Mistral-7B-v0.1
tags:
- mistral
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
model-index:
- name: OpenHermes-2-Mistral-7B
results: []
license: apache-2.0
language:
- en
---
# OpenHermes 2 - Mistral 7B
![image/png](https://cdn-uploads.huggingface.co/production/uploa... | 13,301 | [
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-0.001... |
TalTechNLP/voxlingua107-epaca-tdnn | 2021-11-04T13:37:27.000Z | [
"speechbrain",
"audio-classification",
"embeddings",
"Language",
"Identification",
"pytorch",
"ECAPA-TDNN",
"TDNN",
"VoxLingua107",
"multilingual",
"dataset:VoxLingua107",
"license:apache-2.0",
"has_space",
"region:us"
] | audio-classification | TalTechNLP | null | null | TalTechNLP/voxlingua107-epaca-tdnn | 25 | 19,402 | speechbrain | 2022-03-02T23:29:05 | ---
language: multilingual
thumbnail:
tags:
- audio-classification
- speechbrain
- embeddings
- Language
- Identification
- pytorch
- ECAPA-TDNN
- TDNN
- VoxLingua107
license: "apache-2.0"
datasets:
- VoxLingua107
metrics:
- Accuracy
widget:
- example_title: English Sample
src: https://cdn-media.huggingface.co/speech... | 5,851 | [
[
-0.03179931640625,
-0.056182861328125,
-0.002094268798828125,
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0.0220489501953125,
-0.021148681640625,
-0.0531005859375,
-0.031585693359375... |
flair/ner-french | 2023-04-07T09:54:46.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"fr",
"dataset:conll2003",
"has_space",
"region:us"
] | token-classification | flair | null | null | flair/ner-french | 7 | 19,386 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: fr
datasets:
- conll2003
widget:
- text: "George Washington est allé à Washington"
---
## French NER in Flair (default model)
This is the standard 4-class NER model for French that ships with [Flair](https://github.com/flairNLP/flair/).
F1-Sc... | 3,486 | [
[
-0.031280517578125,
-0.045196533203125,
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-0.0323486328125,
-0.035888671875,
-0.04217529296875,
... |
ozcangundes/mt5-multitask-qa-qg-turkish | 2021-06-23T15:24:09.000Z | [
"transformers",
"pytorch",
"jax",
"mt5",
"text2text-generation",
"question-answering",
"question-generation",
"multitask-model",
"tr",
"dataset:TQUAD",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | question-answering | ozcangundes | null | null | ozcangundes/mt5-multitask-qa-qg-turkish | 3 | 19,349 | transformers | 2022-03-02T23:29:05 | ---
language: tr
datasets:
- TQUAD
tags:
- question-answering
- question-generation
- multitask-model
license: apache-2.0
---
# mT5-small based Turkish Multitask (Answer Extraction, Question Generation and Question Answering) System
[Google's Multilingual T5-small](https://github.com/google-research/multilingual-t5... | 3,600 | [
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0.040802001953125,
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-0.036529541015625,
-0.04595947265625,
... |
BAAI/bge-base-en | 2023-10-12T03:37:19.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"mteb",
"en",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | BAAI | null | null | BAAI/bge-base-en | 41 | 19,296 | transformers | 2023-08-05T08:03:50 | ---
tags:
- mteb
model-index:
- name: bge-base-en
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- ty... | 89,564 | [
[
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timm/mobilenetv3_small_100.lamb_in1k | 2023-04-27T22:49:35.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.02244",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mobilenetv3_small_100.lamb_in1k | 0 | 19,289 | timm | 2022-12-16T05:38:36 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv3_small_100.lamb_in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A LAMB optimizer recipe that... | 4,427 | [
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ai-forever/mGPT | 2023-05-19T09:57:40.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"multilingual",
"PyTorch",
"Transformers",
"gpt3",
"Deepspeed",
"Megatron",
"ar",
"he",
"vi",
"id",
"jv",
"ms",
"tl",
"lv",
"lt",
"eu",
"ml",
"ta",
"te",
"hy",
"bn",
"mr",
"hi",
"ur",
"af",
"da",
"en",
... | text-generation | ai-forever | null | null | ai-forever/mGPT | 181 | 19,268 | transformers | 2022-04-07T09:13:42 | ---
license: apache-2.0
language:
- ar
- he
- vi
- id
- jv
- ms
- tl
- lv
- lt
- eu
- ml
- ta
- te
- hy
- bn
- mr
- hi
- ur
- af
- da
- en
- de
- sv
- fr
- it
- pt
- ro
- es
- el
- os
- tg
- fa
- ja
- ka
- ko
- th
- bxr
- xal
- mn
- sw
- yo
- be
- bg
- ru
- uk
- pl
- my
- uz
- ba
- kk
- ky
- tt
- az
- cv
- tr
- tk
- ty... | 3,604 | [
[
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studio-ousia/luke-base | 2022-04-13T08:59:59.000Z | [
"transformers",
"pytorch",
"luke",
"fill-mask",
"named entity recognition",
"entity typing",
"relation classification",
"question answering",
"en",
"arxiv:1906.08237",
"arxiv:1903.07785",
"arxiv:2002.01808",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_spa... | fill-mask | studio-ousia | null | null | studio-ousia/luke-base | 16 | 19,223 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: https://github.com/studio-ousia/luke/raw/master/resources/luke_logo.png
tags:
- luke
- named entity recognition
- entity typing
- relation classification
- question answering
license: apache-2.0
---
## LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attenti... | 3,723 | [
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stabilityai/stable-diffusion-xl-refiner-0.9 | 2023-07-12T14:04:10.000Z | [
"diffusers",
"image-to-image",
"stable-diffusion",
"arxiv:2108.01073",
"arxiv:2112.10752",
"arxiv:2307.01952",
"license:other",
"has_space",
"diffusers:StableDiffusionXLImg2ImgPipeline",
"region:us"
] | image-to-image | stabilityai | null | null | stabilityai/stable-diffusion-xl-refiner-0.9 | 317 | 19,213 | diffusers | 2023-06-21T07:24:39 | ---
license: other
extra_gated_prompt: >-
Copyright (c) Stability AI Ltd.
This License Agreement (as may be amended in accordance with this License
Agreement, “License”), between you, or your employer or other entity (if you
are entering into this agreement on behalf of your employer or other entity)
(“Lice... | 17,849 | [
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bigscience/bloom-1b7 | 2023-05-11T21:17:30.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bloom",
"text-generation",
"ak",
"ar",
"as",
"bm",
"bn",
"ca",
"code",
"en",
"es",
"eu",
"fon",
"fr",
"gu",
"hi",
"id",
"ig",
"ki",
"kn",
"lg",
"ln",
"ml",
"mr",
"ne",
"nso",
"ny",
"or",
"pa",
"pt",
... | text-generation | bigscience | null | null | bigscience/bloom-1b7 | 101 | 19,123 | transformers | 2022-05-19T11:52:06 | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
- mr
- ne
- nso
- ny
- or
- pa
- pt
- rn
- rw
- sn
- st
- sw
- ta
- te
- tn
- ts
- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zhs
- zht
- zu
pipeline_tag: text-gener... | 20,219 | [
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0.0034198760... |
OpenBuddy/openbuddy-codellama2-34b-v11.1-bf16 | 2023-09-20T06:40:58.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"text-generation-inference",
"region:us"
] | text-generation | OpenBuddy | null | null | OpenBuddy/openbuddy-codellama2-34b-v11.1-bf16 | 9 | 19,060 | transformers | 2023-09-08T02:21:55 | ---
language:
- zh
- en
- fr
- de
- ja
- ko
- it
- ru
pipeline_tag: text-generation
inference: false
library_name: transformers
---
# OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai... | 2,636 | [
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-0... |
sail-rvc/Plankton__SpongeBob___RVC_v2__1K_Epochs_69K_Steps | 2023-07-14T07:30:41.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us",
"has_space"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Plankton__SpongeBob___RVC_v2__1K_Epochs_69K_Steps | 0 | 19,042 | transformers | 2023-07-14T07:29:48 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Plankton__SpongeBob___RVC_v2__1K_Epochs_69K_Steps
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:30:41
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn... | 417 | [
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ehartford/dolphin-2.1-mistral-7b | 2023-10-11T13:35:12.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ehartford | null | null | ehartford/dolphin-2.1-mistral-7b | 189 | 19,031 | transformers | 2023-10-11T04:42:16 | ---
license: apache-2.0
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
language:
- en
---
Dolphin 2.1 🐬
https://erichartford.com/dolphin
Dolphin-2.1-mistral-7b's training was sponsored by [a16z](https://a16z.com/supporting-the-open-source-ai-community/).
This model is based on mistralAI, with apache-2.0 ... | 5,323 | [
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elinas/chronos-13b-v2 | 2023-10-10T20:36:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"chatbot",
"storywriting",
"generalist-model",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | elinas | null | null | elinas/chronos-13b-v2 | 18 | 18,917 | transformers | 2023-08-02T18:14:39 | ---
license: llama2
tags:
- llama
- pytorch
- chatbot
- storywriting
- generalist-model
---
# chronos-13b-v2
This is the FP16 PyTorch / HF version of **chronos-13b-v2** based on the **LLaMA v2 Base** model.
Only use this version for further quantization or if you would like to run in full precision, as long as you h... | 1,368 | [
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eugenesiow/edsr-base | 2021-07-28T09:04:00.000Z | [
"transformers",
"EDSR",
"super-image",
"image-super-resolution",
"dataset:eugenesiow/Div2k",
"dataset:eugenesiow/Set5",
"dataset:eugenesiow/Set14",
"dataset:eugenesiow/BSD100",
"dataset:eugenesiow/Urban100",
"arxiv:1707.02921",
"arxiv:2104.07566",
"license:apache-2.0",
"endpoints_compatible"... | null | eugenesiow | null | null | eugenesiow/edsr-base | 5 | 18,849 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- super-image
- image-super-resolution
datasets:
- eugenesiow/Div2k
- eugenesiow/Set5
- eugenesiow/Set14
- eugenesiow/BSD100
- eugenesiow/Urban100
metrics:
- pnsr
- ssim
---
# Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR)
EDSR model pre-trained on DIV2K (800 imag... | 8,466 | [
[
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-0.019378662109375,
-0.0410461425... |
timm/tf_efficientnet_b7.ns_jft_in1k | 2023-04-27T21:25:31.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.04252",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b7.ns_jft_in1k | 0 | 18,849 | timm | 2022-12-13T00:06:04 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b7.ns_jft_in1k
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper authors... | 4,607 | [
[
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Helsinki-NLP/opus-mt-uk-en | 2023-08-16T12:08:04.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"uk",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-uk-en | 6 | 18,801 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-uk-en
* source languages: uk
* target languages: en
* OPUS readme: [uk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/uk-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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google/flan-ul2 | 2023-03-09T13:09:22.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:svakulenk0/qrecc",
"dataset:taskmaster2",
"dataset:djaym7/wiki_dialog",
"dataset:deepmind/code_contests",
"dataset:lambada",
"dataset:gsm8k",
"dataset:aqua_rat",
"dataset:esnli",... | text2text-generation | google | null | null | google/flan-ul2 | 502 | 18,777 | transformers | 2023-03-03T10:37:27 | ---
language:
- en
- fr
- ro
- de
- multilingual
widget:
- text: 'Translate to German: My name is Arthur'
example_title: Translation
- text: >-
Please answer to the following question. Who is going to be the next
Ballon d'or?
example_title: Question Answering
- text: >-
Q: Can... | 14,778 | [
[
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aubmindlab/bert-base-arabertv02 | 2023-03-17T15:49:17.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"safetensors",
"bert",
"fill-mask",
"ar",
"dataset:wikipedia",
"dataset:Osian",
"dataset:1.5B-Arabic-Corpus",
"dataset:oscar-arabic-unshuffled",
"dataset:Assafir(private)",
"arxiv:2003.00104",
"autotrain_compatible",
"endpoints_c... | fill-mask | aubmindlab | null | null | aubmindlab/bert-base-arabertv02 | 20 | 18,730 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- wikipedia
- Osian
- 1.5B-Arabic-Corpus
- oscar-arabic-unshuffled
- Assafir(private)
widget:
- text: " عاصمة لبنان هي [MASK] ."
---
# AraBERT v1 & v2 : Pre-training BERT for Arabic Language Understanding
<img src="https://raw.githubusercontent.com/aub-mind/arabert/master/arabert_logo.png"... | 8,491 | [
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0... |
KoboldAI/GPT-NeoX-20B-Erebus | 2022-09-26T19:05:19.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"arxiv:2204.06745",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/GPT-NeoX-20B-Erebus | 71 | 18,719 | transformers | 2022-09-02T18:07:19 | ---
language: en
license: apache-2.0
inference: false
---
# GPT-NeoX-20B-Erebus
## Model description
This is the second generation of the original Shinen made by Mr. Seeker. The full dataset consists of 6 different sources, all surrounding the "Adult" theme. The name "Erebus" comes from the greek mythology, also named... | 2,352 | [
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0.010... |
sentence-transformers/msmarco-MiniLM-L6-cos-v5 | 2023-11-02T09:31:43.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:1908.10084",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-MiniLM-L6-cos-v5 | 6 | 18,670 | sentence-transformers | 2022-03-02T23:29:05 | ---
language:
- en
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# msmarco-MiniLM-L6-cos-v5
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and was desi... | 5,129 | [
[
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0.0... |
roneneldan/TinyStories-1M | 2023-05-17T22:10:57.000Z | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"arxiv:2305.07759",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | roneneldan | null | null | roneneldan/TinyStories-1M | 21 | 18,667 | transformers | 2023-05-12T19:01:50 | Model trained on the TinyStories Dataset, see https://arxiv.org/abs/2305.07759
------ EXAMPLE USAGE ---
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-1M')
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-n... | 657 | [
[
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tomaarsen/span-marker-mbert-base-multinerd | 2023-09-12T20:45:24.000Z | [
"span-marker",
"pytorch",
"tensorboard",
"safetensors",
"token-classification",
"ner",
"named-entity-recognition",
"multilingual",
"dataset:Babelscape/multinerd",
"license:cc-by-nc-sa-4.0",
"model-index",
"has_space",
"region:us"
] | token-classification | tomaarsen | null | null | tomaarsen/span-marker-mbert-base-multinerd | 38 | 18,664 | span-marker | 2023-08-07T06:59:57 | ---
license: cc-by-nc-sa-4.0
library_name: span-marker
tags:
- span-marker
- token-classification
- ner
- named-entity-recognition
pipeline_tag: token-classification
widget:
- text: "Amelia Earthart flog mit ihrer einmotorigen Lockheed Vega 5B über den Atlantik nach Paris."
example_title: "German"
- text: "Amelia Ear... | 22,302 | [
[
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ml6team/keyphrase-extraction-kbir-inspec | 2023-05-06T08:46:52.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"keyphrase-extraction",
"en",
"dataset:midas/inspec",
"arxiv:2112.08547",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | ml6team | null | null | ml6team/keyphrase-extraction-kbir-inspec | 74 | 18,638 | transformers | 2022-03-29T13:14:21 | ---
language: en
license: mit
tags:
- keyphrase-extraction
datasets:
- midas/inspec
metrics:
- seqeval
widget:
- text: "Keyphrase extraction is a technique in text analysis where you extract the important keyphrases from a document.
Thanks to these keyphrases humans can understand the content of a text very quickly a... | 12,438 | [
[
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0.022430419921875,
-0.027069091796875,
-0.045562744140625,
-0.066162109375,
0.0285... |
naver-clova-ocr/bros-base-uncased | 2022-04-05T13:56:46.000Z | [
"transformers",
"pytorch",
"bros",
"feature-extraction",
"arxiv:2108.04539",
"endpoints_compatible",
"region:us"
] | feature-extraction | naver-clova-ocr | null | null | naver-clova-ocr/bros-base-uncased | 7 | 18,626 | transformers | 2022-03-02T23:29:05 | # BROS
GitHub: https://github.com/clovaai/bros
## Introduction
BROS (BERT Relying On Spatiality) is a pre-trained language model focusing on text and layout for better key information extraction from documents.<br>
Given the OCR results of the document image, which are text and bounding box pairs, it can perform var... | 1,307 | [
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ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA | 2022-07-04T15:34:40.000Z | [
"transformers",
"pytorch",
"electra",
"question-answering",
"ar",
"dataset:ZeyadAhmed/Arabic-SQuADv2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | ZeyadAhmed | null | null | ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA | 7 | 18,623 | transformers | 2022-06-29T17:25:33 | ---
datasets:
- ZeyadAhmed/Arabic-SQuADv2.0
language:
- ar
metrics:
-
name: exact_match
type: exact_match
value: 65.12
-
name: F1
type: f1
value: 71.49
---
# AraElectra for Question Answering on Arabic-SQuADv2
This is the [AraElectra](https://huggingface.co/aubmindlab/araelectra-... | 3,760 | [
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optimum/gpt2 | 2023-01-03T10:29:58.000Z | [
"transformers",
"onnx",
"gpt2",
"text-generation",
"exbert",
"en",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | optimum | null | null | optimum/gpt2 | 4 | 18,609 | transformers | 2022-11-22T10:17:23 | ---
language: en
tags:
- exbert
license: mit
---
# GPT-2
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in
[this paper](https://d4mucfpksywv.cloudfront.net/better... | 3,008 | [
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0.00920... |
TheBloke/Llama-2-13B-GPTQ | 2023-09-27T12:44:47.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-13B-GPTQ | 104 | 18,596 | transformers | 2023-07-18T17:17:40 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 13B
base_model: meta-llama/Llama-2-13b-hf
inference: false
model_creator: Meta
model_type: llama
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!--... | 24,462 | [
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snrspeaks/t5-one-line-summary | 2021-06-23T14:20:22.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"dataset:arxiv",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | snrspeaks | null | null | snrspeaks/t5-one-line-summary | 89 | 18,589 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- arxiv
widget:
- text: "summarize: We describe a system called Overton, whose main design goal is to support engineers in building, monitoring, and improving production
machinelearning systems. Key challenges engineers face are monitoring fine-grained quality, diagnosing errors in sophisticated app... | 3,993 | [
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EleutherAI/enformer-official-rough | 2022-06-12T20:46:42.000Z | [
"transformers",
"pytorch",
"enformer",
"license:cc-by-4.0",
"region:us"
] | null | EleutherAI | null | null | EleutherAI/enformer-official-rough | 8 | 18,576 | transformers | 2022-06-01T20:42:11 | ---
license: cc-by-4.0
inference: false
---
# Enformer
Enformer model. It was introduced in the paper [Effective gene expression prediction from sequence by integrating long-range interactions.](https://www.nature.com/articles/s41592-021-01252-x) by Avsec et al. and first released in [this repository](https://github.... | 1,118 | [
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pankajmathur/Lima_Unchained_70b | 2023-09-11T16:05:47.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:psmathur/lima_unchained_v1",
"arxiv:2305.11206",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | pankajmathur | null | null | pankajmathur/Lima_Unchained_70b | 4 | 18,426 | transformers | 2023-08-02T02:49:09 | ---
language:
- en
library_name: transformers
datasets:
- psmathur/lima_unchained_v1
---
# Lima_Unchained_70b
A Llama2-70b model fine-tuned using QLora on all the linear layers with carefully selected ~900 conversations from the [Lima](https://arxiv.org/pdf/2305.11206.pdf)
<br>
**P.S. If you're interested to coll... | 4,235 | [
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sonoisa/sentence-bert-base-ja-mean-tokens | 2021-12-14T11:43:43.000Z | [
"sentence-transformers",
"pytorch",
"sentence-bert",
"feature-extraction",
"sentence-similarity",
"ja",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | sonoisa | null | null | sonoisa/sentence-bert-base-ja-mean-tokens | 7 | 18,368 | sentence-transformers | 2022-03-02T23:29:05 | ---
language: ja
license: cc-by-sa-4.0
tags:
- sentence-transformers
- sentence-bert
- feature-extraction
- sentence-similarity
---
This is a Japanese sentence-BERT model.
日本語用Sentence-BERTモデル（バージョン1）です。
※: 精度が1.5ポイントほど向上した[バージョン2モデル](https://huggingface.co/sonoisa/sentence-bert-base-ja-mean-tokens-v2)もあります。
# 解説
... | 2,289 | [
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-0.... |
jpwahle/longformer-base-plagiarism-detection | 2023-03-17T11:38:57.000Z | [
"transformers",
"pytorch",
"safetensors",
"longformer",
"text-classification",
"array",
"of",
"tags",
"en",
"dataset:jpwahle/machine-paraphrase-dataset",
"arxiv:2004.05150",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | jpwahle | null | null | jpwahle/longformer-base-plagiarism-detection | 7 | 18,320 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: url to a thumbnail used in social sharing
tags:
- array
- of
- tags
datasets:
- jpwahle/machine-paraphrase-dataset
widget:
- text: Plagiarism is the representation of another author's writing, thoughts, ideas,
or expressions as one's own work.
---
# Longformer-base for Machine-Paraphras... | 2,749 | [
[
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0.05584716796875,
-0.005954742431640625,
-0.0341796875,
-0.057769775390625,
... |
anferico/bert-for-patents | 2023-04-04T12:59:18.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"fill-mask",
"masked-lm",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | anferico | null | null | anferico/bert-for-patents | 54 | 18,283 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- masked-lm
- pytorch
pipeline-tag: "fill-mask"
mask-token: "[MASK]"
widget:
- text: "The present [MASK] provides a torque sensor that is small and highly rigid and for which high production efficiency is possible."
- text: "The present invention relates to [MASK] accessories and pertains pa... | 1,565 | [
[
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0.0184783935546875,
-0.034393310546875,
-0.036224365234375,
-0.03326416015625,
-0... |
xyn-ai/anything-v4.0 | 2023-03-23T04:25:51.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | xyn-ai | null | null | xyn-ai/anything-v4.0 | 45 | 18,276 | diffusers | 2023-03-23T04:25:51 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: andite/anything-v4.0
---
Fantasy.ai is the official and exclusive hosted AI generation platform that holds a commercial use license for Anything V4.0, you... | 4,212 | [
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DeepFloyd/IF-II-L-v1.0 | 2023-06-02T19:05:09.000Z | [
"diffusers",
"pytorch",
"if",
"text-to-image",
"arxiv:2205.11487",
"arxiv:2110.02861",
"license:deepfloyd-if-license",
"has_space",
"diffusers:IFSuperResolutionPipeline",
"region:us"
] | text-to-image | DeepFloyd | null | null | DeepFloyd/IF-II-L-v1.0 | 44 | 18,274 | diffusers | 2023-03-21T13:09:58 | ---
license: deepfloyd-if-license
extra_gated_prompt: "DeepFloyd LICENSE AGREEMENT\nThis License Agreement (as may be amended in accordance with this License Agreement, “License”), between you, or your employer or other entity (if you are entering into this agreement on behalf of your employer or other entity) (“Licens... | 23,763 | [
[
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0.0303192138671875,
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-0.0186920166015625,
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0.006671905517578125,
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... |
HooshvareLab/bert-fa-base-uncased-sentiment-snappfood | 2021-05-18T21:00:55.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"fa",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | HooshvareLab | null | null | HooshvareLab/bert-fa-base-uncased-sentiment-snappfood | 4 | 18,191 | transformers | 2022-03-02T23:29:04 | ---
language: fa
license: apache-2.0
---
# ParsBERT (v2.0)
A Transformer-based Model for Persian Language Understanding
We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora in order to provide some functionalities for using ParsBERT in other scopes!
Please follow the [ParsBERT](... | 2,650 | [
[
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-0.025604248046875,
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-0.034576416015625,
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-... |
HuggingFaceM4/idefics-9b-instruct | 2023-10-12T18:45:25.000Z | [
"transformers",
"pytorch",
"safetensors",
"idefics",
"pretraining",
"multimodal",
"text",
"image",
"image-to-text",
"text-generation",
"en",
"dataset:HuggingFaceM4/OBELICS",
"dataset:wikipedia",
"dataset:facebook/pmd",
"dataset:laion/laion2B-en",
"arxiv:2303.12733",
"arxiv:2109.05014... | text-generation | HuggingFaceM4 | null | null | HuggingFaceM4/idefics-9b-instruct | 46 | 18,149 | transformers | 2023-07-24T15:51:18 | ---
language: en
tags:
- multimodal
- text
- image
- image-to-text
license: other
datasets:
- HuggingFaceM4/OBELICS
- wikipedia
- facebook/pmd
- laion/laion2B-en
pipeline_tag: text-generation
inference: false
---
<p align="center">
<img src="https://huggingface.co/HuggingFaceM4/idefics-80b/resolve/main/assets/IDEF... | 43,239 | [
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-0.03759765625,
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0.011... |
EleutherAI/pythia-160m | 2023-07-09T15:52:09.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/pile",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region... | text-generation | EleutherAI | null | null | EleutherAI/pythia-160m | 13 | 18,086 | transformers | 2023-02-08T19:25:46 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- EleutherAI/pile
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models of sizes
70M, 1... | 13,570 | [
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0.0157012939453125,
0.01172637939453125,
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TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ | 2023-09-27T12:44:18.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"uncensored",
"en",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Wizard-Vicuna-13B-Uncensored-GPTQ | 257 | 18,065 | transformers | 2023-05-13T08:18:23 | ---
language:
- en
license: other
tags:
- uncensored
datasets:
- ehartford/wizard_vicuna_70k_unfiltered
model_name: Wizard Vicuna 13B Uncensored
base_model: ehartford/Wizard-Vicuna-13B-Uncensored
inference: false
model_creator: Eric Hartford
model_type: llama
prompt_template: 'A chat between a curious user and an artif... | 14,942 | [
[
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0.036407470703125,
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0.00535... |
microsoft/unispeech-large-1500h-cv | 2021-11-05T12:41:56.000Z | [
"transformers",
"pytorch",
"unispeech",
"pretraining",
"speech",
"en",
"dataset:common_voice",
"arxiv:2101.07597",
"endpoints_compatible",
"region:us"
] | null | microsoft | null | null | microsoft/unispeech-large-1500h-cv | 1 | 18,060 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
datasets:
- common_voice
tags:
- speech
---
# UniSpeech-Large
[Microsoft's UniSpeech](https://www.microsoft.com/en-us/research/publication/unispeech-unified-speech-representation-learning-with-labeled-and-unlabeled-data/)
The large model pretrained on 16kHz sampled speech audio and phonetic labels... | 3,422 | [
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... |
castorini/monot5-base-msmarco | 2021-11-24T17:59:19.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | castorini | null | null | castorini/monot5-base-msmarco | 4 | 18,057 | transformers | 2022-03-02T23:29:05 | This model is a T5-base reranker fine-tuned on the MS MARCO passage dataset for 100k steps (or 10 epochs).
For better zero-shot performance (i.e., inference on other datasets), we recommend using `castorini/monot5-base-msmarco-10k`.
For more details on how to use it, check the following links:
- [A simple reranking e... | 788 | [
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... |
asapp/sew-d-tiny-100k | 2023-07-21T23:05:03.000Z | [
"transformers",
"pytorch",
"safetensors",
"sew-d",
"feature-extraction",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | asapp | null | null | asapp/sew-d-tiny-100k | 0 | 18,054 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-D-tiny
[SEW-D by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this mode... | 1,783 | [
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0.032135009765625,
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0.0052490234375,
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... |
asapp/sew-tiny-100k | 2023-07-21T23:05:12.000Z | [
"transformers",
"pytorch",
"safetensors",
"sew",
"feature-extraction",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | asapp | null | null | asapp/sew-tiny-100k | 1 | 18,038 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-tiny
[SEW by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model sh... | 1,778 | [
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0.03204345703125,
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0.00795745849609375,
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... |
bigscience/T0_3B | 2022-06-21T01:31:56.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:bigscience/P3",
"arxiv:2110.08207",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | bigscience | null | null | bigscience/T0_3B | 88 | 18,005 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- bigscience/P3
language: en
license: apache-2.0
widget:
- text: "A is the son's of B's uncle. What is the family relationship between A and B?"
- text: "Reorder the words in this sentence: justin and name bieber years is my am I 27 old."
- text: "Task: copy but say the opposite.\n
PSG won its match again... | 19,050 | [
[
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0.01000213623046875,
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0.0275115966796875,
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-0.04791259765625,
-0.048065185546... |
KoboldAI/OPT-13B-Nerys-v2 | 2022-09-19T11:15:55.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/OPT-13B-Nerys-v2 | 9 | 17,936 | transformers | 2022-09-19T07:52:07 | ---
language: en
license: other
commercial: no
---
# OPT 13B - Nerys
## Model Description
OPT 13B-Nerys is a finetune created using Facebook's OPT model.
## Training data
The training data contains around 2500 ebooks in various genres (the "Pike" dataset), a CYOA dataset called "CYS" and 50 Asian "Light Novels" (the "M... | 1,927 | [
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0.03753... |
codellama/CodeLlama-7b-Python-hf | 2023-10-27T18:08:58.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"llama-2",
"code",
"arxiv:2308.12950",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | codellama | null | null | codellama/CodeLlama-7b-Python-hf | 64 | 17,932 | transformers | 2023-08-24T16:31:28 | ---
language:
- code
pipeline_tag: text-generation
tags:
- llama-2
license: llama2
---
# **Code Llama**
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 7B Python specialist version in the Hugging Face... | 6,160 | [
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0.025421142... |
hdparmar/tradfusion-v2-training-files | 2023-10-27T11:57:19.000Z | [
"diffusers",
"tensorboard",
"pytorch",
"text-to-image",
"license:mit",
"region:us"
] | text-to-image | hdparmar | null | null | hdparmar/tradfusion-v2-training-files | 0 | 17,913 | diffusers | 2023-10-26T20:24:57 | ---
license: mit
tags:
- pytorch
- diffusers
- text-to-image
---
## Usage
Files logged during training, tensorboard, images generated, metrics and varias checkpoints
| 168 | [
[
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-0... |
cerebras/btlm-3b-8k-base | 2023-10-23T14:45:35.000Z | [
"transformers",
"pytorch",
"btlm",
"text-generation",
"causal-lm",
"Cerebras",
"BTLM",
"custom_code",
"en",
"dataset:cerebras/SlimPajama-627B",
"arxiv:2304.03208",
"arxiv:2002.05202",
"arxiv:2108.12409",
"arxiv:2203.03466",
"arxiv:2309.11568",
"arxiv:2310.13017",
"license:apache-2.0"... | text-generation | cerebras | null | null | cerebras/btlm-3b-8k-base | 229 | 17,826 | transformers | 2023-07-14T19:01:11 | ---
language:
- en
inference: false
tags:
- pytorch
- causal-lm
- Cerebras
- BTLM
datasets:
- cerebras/SlimPajama-627B
pipeline_tag: text-generation
license: apache-2.0
---
# BTLM-3B-8k-base
[Bittensor Language Model (BTLM-3B-8k-base)](https://www.cerebras.net/blog/btlm-3b-8k-7b-performance-in-a-3-billion-parameter-m... | 12,599 | [
[
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dima806/facial_emotions_image_detection | 2023-10-03T13:57:54.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | image-classification | dima806 | null | null | dima806/facial_emotions_image_detection | 3 | 17,782 | transformers | 2023-10-02T20:44:31 | ---
license: apache-2.0
metrics:
- accuracy
- f1
---
See https://www.kaggle.com/code/dima806/facial-emotions-image-detection-vit for more details. | 146 | [
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-0.04339599609375,
-0.0304107666015625,
-0.01673... |
lmsys/vicuna-33b-v1.3 | 2023-08-01T01:50:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2302.13971",
"arxiv:2306.05685",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | lmsys | null | null | lmsys/vicuna-33b-v1.3 | 239 | 17,754 | transformers | 2023-06-21T06:29:44 | ---
inference: false
---
# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
- **Developed by:** [LMSYS](https://lmsys.org/)
- **Model type:** An auto-regressive language model based on the transformer architecture.
- **L... | 1,805 | [
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facebook/detr-resnet-101-dc5 | 2023-09-06T19:19:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"detr",
"object-detection",
"dataset:coco",
"arxiv:2005.12872",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | object-detection | facebook | null | null | facebook/detr-resnet-101-dc5 | 15 | 17,743 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- object-detection
datasets:
- coco
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg
example_title: Savanna
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- src: https... | 4,807 | [
[
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-0.033843994140625,
-0.03982543945... |
h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3 | 2023-07-12T22:22:15.000Z | [
"transformers",
"pytorch",
"RefinedWebModel",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"custom_code",
"en",
"dataset:OpenAssistant/oasst1",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | h2oai | null | null | h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3 | 58 | 17,692 | transformers | 2023-06-14T09:39:56 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
- h2o-llmstudio
inference: false
thumbnail: >-
https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
license: apache-2.0
datasets:
- OpenAssistant/oasst1
---
# Model Card
## Summary
This model wa... | 7,802 | [
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0.0002236... |
audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim | 2023-10-06T07:11:28.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"speech",
"audio",
"audio-classification",
"emotion-recognition",
"en",
"dataset:msp-podcast",
"arxiv:2203.07378",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | audeering | null | null | audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim | 38 | 17,667 | transformers | 2022-04-06T12:40:02 | ---
language: en
datasets:
- msp-podcast
inference: true
tags:
- speech
- audio
- wav2vec2
- audio-classification
- emotion-recognition
license: cc-by-nc-sa-4.0
pipeline_tag: audio-classification
---
# Model for Dimensional Speech Emotion Recognition based on Wav2vec 2.0
The model expects a raw audio signal as input ... | 3,698 | [
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0.0096282958984375,
-0.057403564453125,
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-0.044647216796875,... |
uer/roberta-base-chinese-extractive-qa | 2023-10-17T15:23:53.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"question-answering",
"zh",
"arxiv:1909.05658",
"arxiv:2212.06385",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | uer | null | null | uer/roberta-base-chinese-extractive-qa | 66 | 17,652 | transformers | 2022-03-02T23:29:05 | ---
language: zh
widget:
- text: "著名诗歌《假如生活欺骗了你》的作者是"
context: "普希金从那里学习人民的语言，吸取了许多有益的养料，这一切对普希金后来的创作产生了很大的影响。这两年里，普希金创作了不少优秀的作品，如《囚徒》、《致大海》、《致凯恩》和《假如生活欺骗了你》等几十首抒情诗，叙事诗《努林伯爵》，历史剧《鲍里斯·戈都诺夫》，以及《叶甫盖尼·奥涅金》前六章。"
---
# Chinese RoBERTa-Base Model for QA
## Model description
The model is used for extractive question ans... | 4,334 | [
[
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0.020263671875,
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-0.028350830078125,
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... |
paust/pko-flan-t5-large | 2023-08-17T10:55:54.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"ko",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | paust | null | null | paust/pko-flan-t5-large | 1 | 17,631 | transformers | 2023-06-28T01:51:15 | ---
language: ko
license: mit
library_name: transformers
pipeline_tag: text2text-generation
---
# FLAN T5
[Source Code](https://github.com/paust-team/pko-t5/tree/main/pkot5/flan)
FLAN T5는 [paust/pko-t5-large](https://huggingface.co/paust/pko-t5-large) 모델을 기반으로 다양한 태스크를 instruction finetuning을 통해서 만든 모델입니다.
현재 계속 Ins... | 2,401 | [
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0.0... |
lordtt13/emo-mobilebert | 2023-07-09T15:28:20.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"mobilebert",
"text-classification",
"en",
"dataset:emo",
"arxiv:2004.02984",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | lordtt13 | null | null | lordtt13/emo-mobilebert | 3 | 17,627 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- emo
---
## Emo-MobileBERT: a thin version of BERT LARGE, trained on the EmoContext Dataset from scratch
### Details of MobileBERT
The **MobileBERT** model was presented in [MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices](https://arxiv.org/abs/2004.02984) by *Zhiqin... | 2,933 | [
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-0.0274658203125,
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0.0255889892578125,
0.0189056396484375,
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-0.041900634765625,
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0... |
timm/xcit_large_24_p8_224.fb_in1k | 2023-04-13T02:02:40.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2106.09681",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/xcit_large_24_p8_224.fb_in1k | 0 | 17,605 | timm | 2023-04-13T01:59:56 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for xcit_large_24_p8_224.fb_in1k
A XCiT (Cross-Covariance Image Transformer) image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classific... | 2,702 | [
[
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-... |
sazyou-roukaku/BracingEvoMix | 2023-10-01T08:58:54.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"ja",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | sazyou-roukaku | null | null | sazyou-roukaku/BracingEvoMix | 130 | 17,593 | diffusers | 2023-05-31T10:29:16 | ---
license: creativeml-openrail-m
language:
- ja
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- text-to-image
---
License:[CreativeML Open RAIL-M](https://huggingface.co/sazyou-roukaku/BracingEvoMix/blob/main/license_v1.txt)<br>
Additional Copyright: sazyou_roukaku (TwitterID [@sazyou... | 17,522 | [
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0.0... |
WizardLM/WizardMath-70B-V1.0 | 2023-09-01T08:18:07.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | WizardLM | null | null | WizardLM/WizardMath-70B-V1.0 | 98 | 17,466 | transformers | 2023-08-11T04:33:24 | ---
license: llama2
---
## WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct (RLEIF)
<p align="center">
🤗 <a href="https://huggingface.co/WizardLM" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/nlpxucan/WizardLM" target="_blank">Github Repo</a> • 🐦... | 8,707 | [
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0.0230560302734375,
0.006557464599609375,
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0.0017671585083007812,
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0.02166748046875,
0.025421142578125,
-0.054901123046875,
-0.0511474609375,
-0.0357055664062... |
timm/tf_efficientnetv2_m.in21k_ft_in1k | 2023-04-27T22:17:48.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_m.in21k_ft_in1k | 1 | 17,338 | timm | 2022-12-13T00:18:23 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for tf_efficientnetv2_m.in21k_ft_in1k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in Tensorflow by paper authors, ported to PyTo... | 4,189 | [
[
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0.0289459228515625,
-0.028106689453125,
-0.047576904296875,
-0.054046630859375,... |
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