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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LeoLM/leo-hessianai-13b-chat | 2023-10-09T21:27:16.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"en",
"de",
"dataset:LeoLM/OpenSchnabeltier",
"dataset:OpenAssistant/OASST-DE",
"dataset:FreedomIntelligence/alpaca-gpt4-deutsch",
"dataset:FreedomIntelligence/evol-instruct-deutsch",
"dataset:LeoLM/German_Poems",
"dataset... | text-generation | LeoLM | null | null | LeoLM/leo-hessianai-13b-chat | 23 | 1,899 | transformers | 2023-09-10T08:38:51 | ---
datasets:
- LeoLM/OpenSchnabeltier
- OpenAssistant/OASST-DE
- FreedomIntelligence/alpaca-gpt4-deutsch
- FreedomIntelligence/evol-instruct-deutsch
- LeoLM/German_Poems
- LeoLM/German_Songs
language:
- en
- de
library_name: transformers
pipeline_tag: text-generation
---
# LAION LeoLM: **L**inguistically **E**nhanced ... | 8,084 | [
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timm/swinv2_tiny_window8_256.ms_in1k | 2023-03-18T03:37:46.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/swinv2_tiny_window8_256.ms_in1k | 1 | 1,895 | timm | 2023-03-18T03:37:25 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for swinv2_tiny_window8_256.ms_in1k
A Swin Transformer V2 image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
... | 4,400 | [
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apple/DFN5B-CLIP-ViT-H-14 | 2023-10-31T18:04:58.000Z | [
"open_clip",
"pytorch",
"clip",
"arxiv:2309.17425",
"license:other",
"region:us"
] | null | apple | null | null | apple/DFN5B-CLIP-ViT-H-14 | 2 | 1,895 | open_clip | 2023-10-30T23:07:49 | ---
license: other
license_name: apple-sample-code-license
license_link: LICENSE
---
A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-5B.
Data Filtering Networks (DFNs) are small networks used to automatically filter large pools of uncurated data.
This model was trained on 5B images that were fil... | 3,865 | [
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superb/wav2vec2-base-superb-sid | 2021-11-04T16:03:40.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"audio-classification",
"speech",
"audio",
"en",
"dataset:superb",
"arxiv:2105.01051",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | audio-classification | superb | null | null | superb/wav2vec2-base-superb-sid | 5 | 1,893 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- superb
tags:
- speech
- audio
- wav2vec2
- audio-classification
widget:
- example_title: VoxCeleb Speaker id10003
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb1_00003.wav
- example_title: VoxCeleb Speaker id10004
src: https://cdn-media.huggingface.co/speech_samples/VoxCe... | 3,402 | [
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jncraton/all-MiniLM-L6-v2-ct2-int8 | 2023-06-07T09:35:12.000Z | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"en",
"dataset:s2orc",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:ms_marco",
"dataset:gooaq",
"dataset:yahoo_answers_topics",
"dataset:code_search_net",
"dataset:search_qa",
"dataset:eli5",
"dataset:snl... | sentence-similarity | jncraton | null | null | jncraton/all-MiniLM-L6-v2-ct2-int8 | 0 | 1,892 | sentence-transformers | 2023-06-07T09:33:36 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
datasets:
- s2orc
- flax-sentence-embeddings/stackexchange_xml
- ms_marco
- gooaq
- yahoo_answers_topics
- code_search_net
- search_qa
- eli5
- snli
- multi_nli
- wikihow
- nat... | 10,610 | [
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ckiplab/albert-base-chinese-pos | 2022-05-10T03:28:09.000Z | [
"transformers",
"pytorch",
"albert",
"token-classification",
"zh",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | ckiplab | null | null | ckiplab/albert-base-chinese-pos | 2 | 1,891 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- token-classification
- albert
- zh
license: gpl-3.0
---
# CKIP ALBERT Base Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word seg... | 1,129 | [
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0.033233642578125,
-0.024444580078125,
-0.02520751953125,
-0.04309082031... |
infgrad/stella-base-zh-v2 | 2023-10-13T04:44:03.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"mteb",
"arxiv:1612.00796",
"model-index",
"endpoints_compatible",
"region:us"
] | sentence-similarity | infgrad | null | null | infgrad/stella-base-zh-v2 | 7 | 1,891 | sentence-transformers | 2023-10-13T04:42:53 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: stella-base-zh-v2
results:
- task:
type: STS
dataset:
type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: Non... | 35,505 | [
[
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0.018035888671875,
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-0.05889892578125,
-0.050445556640625,
0.015594... |
chaoyi-wu/PMC_LLAMA_7B | 2023-05-17T02:14:59.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"medical",
"dataset:allenai/s2orc",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | chaoyi-wu | null | null | chaoyi-wu/PMC_LLAMA_7B | 43 | 1,889 | transformers | 2023-04-12T12:59:34 | ---
license: apache-2.0
tags:
- medical
datasets:
- allenai/s2orc
---
This repo contains PMC_LLaMA_7B, which is LLaMA-7b finetuned on the PMC papers in S2ORC dataset.
The model was trained with the following hyperparameters:
* Epochs: 5
* Batch size: 128
* Cutoff length: 512
* Learning rate: 2e-5
Each epoch we sam... | 935 | [
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... |
afraah/my-xzg-cat | 2023-10-08T15:39:19.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | afraah | null | null | afraah/my-xzg-cat | 0 | 1,889 | diffusers | 2023-10-08T15:34:46 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-xzg-Cat Dreambooth model trained by afraah following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: ISSAT-132
Sample pictures of this concept:
![0](https://huggingface.co/a... | 414 | [
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0.011... |
Lathavya/my-pet-dog-on-beach-iwe | 2023-10-09T00:23:59.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Lathavya | null | null | Lathavya/my-pet-dog-on-beach-iwe | 0 | 1,886 | diffusers | 2023-10-09T00:17:44 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-on-beach-iwe Dreambooth model trained by Lathavya following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: Anurag-HYD-272
Sample pictures of this concept:
![0](http... | 426 | [
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-0.0189971923828125,
-0.00350379... |
philschmid/tiny-bert-sst2-distilled | 2022-01-31T18:50:41.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | philschmid | null | null | philschmid/tiny-bert-sst2-distilled | 1 | 1,882 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: tiny-bert-sst2-distilled
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy... | 2,036 | [
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ai-forever/RuM2M100-1.2B | 2023-10-22T08:43:39.000Z | [
"transformers",
"pytorch",
"m2m_100",
"text2text-generation",
"spellchecking",
"M2M100",
"natural language generation",
"ru",
"arxiv:2308.09435",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | ai-forever | null | null | ai-forever/RuM2M100-1.2B | 4 | 1,882 | transformers | 2023-07-26T14:47:03 | ---
language:
- ru
tags:
- spellchecking
- M2M100
- pytorch
- natural language generation
license: mit
---
# RuM2M100-1.2B model
### Summary
The model corrects spelling errors and typos by bringing all the words in the text to the norm of the Russian language.
Corrector was trained based on the model [M2M100-1.2B](h... | 5,725 | [
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Sekharreddy/zaq | 2023-10-09T03:13:15.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Sekharreddy | null | null | Sekharreddy/zaq | 0 | 1,881 | diffusers | 2023-10-09T03:09:04 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### zaq Dreambooth model trained by Sekharreddy following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: SREC-AP355
Sample pictures of this concept:
![0](https://huggingface.co/Se... | 377 | [
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IDEA-CCNL/Taiyi-CLIP-Roberta-large-326M-Chinese | 2023-05-25T09:44:37.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"clip",
"zh",
"image-text",
"feature-extraction",
"arxiv:2209.02970",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | IDEA-CCNL | null | null | IDEA-CCNL/Taiyi-CLIP-Roberta-large-326M-Chinese | 33 | 1,880 | transformers | 2022-07-19T03:01:55 | ---
license: apache-2.0
# inference: false
# pipeline_tag: zero-shot-image-classification
pipeline_tag: feature-extraction
# inference:
# parameters:
tags:
- clip
- zh
- image-text
- feature-extraction
---
# Taiyi-CLIP-Roberta-large-326M-Chinese
- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
- Github: [F... | 5,458 | [
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0.004... |
Henk717/spring-dragon | 2023-08-06T15:40:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Henk717 | null | null | Henk717/spring-dragon | 18 | 1,879 | transformers | 2023-08-05T23:42:59 | ---
license: llama2
---
This model is a recreation attempt of the AI Dungeon 2 Dragon model, to achieve this text_adventures.txt was used that was bundled with the original AI Dungeon 2 github release prior to the online service.
From what we know the same dataset file was used to create the Dragon model, Dragon being ... | 2,544 | [
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digiplay/OnlyAnime_v2.3 | 2023-07-22T13:33:53.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/OnlyAnime_v2.3 | 7 | 1,877 | diffusers | 2023-07-18T07:07:48 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/105955/onlyanime
Sample image I made thru Huggingface's API :
![f2e59549-c26e-4749-a1c9-2849404db47d.jpeg](https://cdn-uploads.huggingface.co/production/upload... | 841 | [
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carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h | 2023-10-23T20:51:50.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"icelandic",
"xlrs-53-icelandic",
"iceland",
"reykjavik",
"samromur",
"is",
"dataset:language-and-voice-lab/samromur_asr",
"dataset:language-and-voice-lab/samromur_children",
"dataset:language-and-voice-lab/mal... | automatic-speech-recognition | carlosdanielhernandezmena | null | null | carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h | 0 | 1,876 | transformers | 2022-12-08T01:25:56 | ---
language: is
datasets:
- language-and-voice-lab/samromur_asr
- language-and-voice-lab/samromur_children
- language-and-voice-lab/malromur_asr
- language-and-voice-lab/althingi_asr
tags:
- audio
- automatic-speech-recognition
- icelandic
- xlrs-53-icelandic
- iceland
- reykjavik
- samromur
license: cc-by-4.0
model-i... | 7,034 | [
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Akshitha2706/white-horse | 2023-10-16T10:32:17.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Akshitha2706 | null | null | Akshitha2706/white-horse | 0 | 1,873 | diffusers | 2023-10-08T13:59:23 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### White-Horse- Dreambooth model trained by Akshitha2706 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: KMEC 165
Sample pictures of this concept:
![0](https://hug... | 596 | [
[
-0.047576904296875,
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0.01800537109375,
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-0.033843994140625,
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jonghyunlee/MoleculeBERT_ChEMBL-pretrained | 2023-09-06T02:45:52.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"chemistry",
"license:mit",
"endpoints_compatible",
"region:us"
] | feature-extraction | jonghyunlee | null | null | jonghyunlee/MoleculeBERT_ChEMBL-pretrained | 0 | 1,872 | transformers | 2023-09-05T11:33:23 | ---
license: mit
metrics:
- accuracy
tags:
- chemistry
---
# Molecular BERT Pretrained Using ChEMBL Database
This model has been pretrained based on the methodology outlined in the paper [Pushing the Boundaries of Molecular Property Prediction for Drug Discovery with Multitask Learning BERT Enhanced by SMILES Enumerat... | 1,776 | [
[
-0.04339599609375,
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0.033447265625,
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-0.038116455078125,
-0.0509033203125,
-0.01... |
voidful/albert_chinese_base | 2023-03-22T02:11:49.000Z | [
"transformers",
"pytorch",
"safetensors",
"albert",
"fill-mask",
"zh",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | voidful | null | null | voidful/albert_chinese_base | 11 | 1,871 | transformers | 2022-03-02T23:29:05 | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "今天[MASK]情很好"
---
# albert_chinese_base
This a albert_chinese_base model from [Google's github](https://github.com/google-research/ALBERT)
converted by huggingface's [script](https://github.com/huggingface/transformers/blob/master/src/transformers/convert_alb... | 1,601 | [
[
-0.00742340087890625,
-0.045562744140625,
-0.000469207763671875,
0.03460693359375,
-0.01268768310546875,
-0.0172119140625,
-0.0135498046875,
-0.0025348663330078125,
0.00815582275390625,
0.03009033203125,
-0.043304443359375,
-0.0433349609375,
-0.04315185546875,
... |
timm/convnextv2_atto.fcmae | 2023-03-31T23:03:14.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_atto.fcmae | 0 | 1,871 | timm | 2023-01-05T01:33:59 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
---
# Model card for convnextv2_atto.fcmae
A ConvNeXt-V2 self-supervised feature representation model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE). This model has no pretrained head and is only useful for fin... | 15,739 | [
[
-0.070068359375,
-0.0311737060546875,
-0.004047393798828125,
0.03826904296875,
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0.06640625,
0.0189056396484375,
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-0.03912353515625,
-0.0531005859375,
-0.00426... |
TheBloke/Phind-CodeLlama-34B-v2-GPTQ | 2023-09-27T12:46:32.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code llama",
"license:llama2",
"model-index",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Phind-CodeLlama-34B-v2-GPTQ | 81 | 1,871 | transformers | 2023-08-28T20:31:35 | ---
license: llama2
tags:
- code llama
base_model: Phind/Phind-CodeLlama-34B-v2
inference: false
model_creator: Phind
model_type: llama
prompt_template: '### System Prompt
{system_message}
### User Message
{prompt}
### Assistant
'
quantized_by: TheBloke
model-index:
- name: Phind-CodeLlama-34B-v1
res... | 18,422 | [
[
-0.037841796875,
-0.061767578125,
0.00952911376953125,
0.01227569580078125,
-0.0257568359375,
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0.0037097930908203125,
-0.03607177734375,
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0.0284576416015625,
-0.0435791015625,
-0.042388916015625,
-0.02362060546875,
-0.... |
timm/resnet152.a1h_in1k | 2023-04-05T18:29:15.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet152.a1h_in1k | 0 | 1,870 | timm | 2023-04-05T18:28:11 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet152.a1h_in1k
A ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k in `timm` us... | 38,524 | [
[
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0.0853271484375,
0.022125244140625,
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... |
derenrich/psychiq2 | 2023-01-03T05:36:24.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"wikipedia",
"wikidata",
"en",
"license:gpl-3.0",
"endpoints_compatible",
"region:us"
] | text-classification | derenrich | null | null | derenrich/psychiq2 | 0 | 1,868 | transformers | 2022-12-29T05:55:40 | ---
license: gpl-3.0
language:
- en
tags:
- wikipedia
- wikidata
widget:
- text: "Douglas Adams\n
1952 births\n
2001 deaths\n
20th-century atheists\n
21st-century atheists\n
20th-century English novelists\n
21st-century English novelists\n
20th-century English screenwriters\n
Alum... | 2,313 | [
[
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0.0131988525390625,
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0.... |
Skywork/Skywork-13B-base | 2023-11-05T05:02:26.000Z | [
"transformers",
"pytorch",
"skywork",
"text-generation",
"custom_code",
"arxiv:2310.19341",
"arxiv:2310.16713",
"license:other",
"region:us"
] | text-generation | Skywork | null | null | Skywork/Skywork-13B-base | 40 | 1,867 | transformers | 2023-10-22T08:30:31 | ---
license: other
license_name: license
license_link: >-
https://github.com/SkyworkAI/Skywork/blob/main/Skywork%20Community%20License.pdf
---
<!-- <div align="center">
<h1>
✨Skywork
</h1>
</div> -->
<div align="center"><img src="misc/skywork_logo.jpeg" width="550"/></div>
<p align="center">
👨💻 <a href="https... | 17,663 | [
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0.... |
Akshitha2706/a-horse | 2023-10-08T07:30:47.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Akshitha2706 | null | null | Akshitha2706/a-horse | 0 | 1,865 | diffusers | 2023-10-08T07:27:02 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### A-horse Dreambooth model trained by Akshitha2706 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: KMEC-TS341
Sample pictures of this concept:
![0](https://huggingface.... | 390 | [
[
-0.041839599609375,
-0.0174713134765625,
0.02734375,
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0.0299072265625,
0.040740966796875,
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0.026824951171875,
-0.0513916015625,
-0.0239410400390625,
-0.0191802978515625,
0.002004... |
Falconsai/nsfw_image_detection | 2023-10-24T09:56:06.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"arxiv:2010.11929",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | image-classification | Falconsai | null | null | Falconsai/nsfw_image_detection | 8 | 1,865 | transformers | 2023-10-13T23:50:01 | ---
license: apache-2.0
pipeline_tag: image-classification
---
# Model Card: Fine-Tuned Vision Transformer (ViT) for NSFW Image Classification
## Model Description
The **Fine-Tuned Vision Transformer (ViT)** is a variant of the transformer encoder architecture, similar to BERT, that has been adapted for image classif... | 5,277 | [
[
-0.047027587890625,
-0.0390625,
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-0.002155303955078125,
-0.038482666015625,
-0.025848388671875,
0.00981903076171875,
-0.0552978515625,
-0.0180511474609375,
0.03179931640625,
-0.046234130859375,
-0.0380859375,
-0.056732177734375,
0.00933... |
castorini/tct_colbert-v2-hnp-msmarco | 2021-08-12T01:05:56.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | castorini | null | null | castorini/tct_colbert-v2-hnp-msmarco | 4 | 1,864 | transformers | 2022-03-02T23:29:05 | This model is to reproduce a variant of TCT-ColBERT-V2 dense retrieval models described in the following paper:
> Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. [In-Batch Negatives for Knowledge Distillation with Tightly-CoupledTeachers for Dense Retrieval.](https://cs.uwaterloo.ca/~jimmylin/publications/Lin_etal_20... | 498 | [
[
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-0.01384735107421875,
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-0.00750732421875,
-0.0301666259765625,
0.028533935546875,
0.03826904296875,
-0.005550384521484375,
0.0114288330078125,
-0.0243072509765625,
... |
cahya/bert-base-indonesian-1.5G | 2021-05-19T13:37:31.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"id",
"dataset:wikipedia",
"dataset:id_newspapers_2018",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | cahya | null | null | cahya/bert-base-indonesian-1.5G | 1 | 1,863 | transformers | 2022-03-02T23:29:05 | ---
language: "id"
license: "mit"
datasets:
- wikipedia
- id_newspapers_2018
widget:
- text: "Ibu ku sedang bekerja [MASK] sawah."
---
# Indonesian BERT base model (uncased)
## Model description
It is BERT-base model pre-trained with indonesian Wikipedia and indonesian newspapers using a masked language modeling (ML... | 2,734 | [
[
-0.01364898681640625,
-0.042236328125,
-0.006412506103515625,
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-0.0477294921875,
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-0.01806640625,
-0.00937652587890625,
0.02862548828125,
0.0423583984375,
-0.030242919921875,
-0.03546142578125,
-0.0728759765625,
0.0180... |
kyujinpy/KO-Platypus2-7B-ex | 2023-10-19T13:27:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"ko",
"dataset:kyujinpy/KOpen-platypus",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | kyujinpy | null | null | kyujinpy/KO-Platypus2-7B-ex | 19 | 1,858 | transformers | 2023-08-31T18:25:00 | ---
language:
- en
- ko
datasets:
- kyujinpy/KOpen-platypus
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-sa-4.0
---
**(주)미디어그룹사람과숲과 (주)마커의 LLM 연구 컨소시엄에서 개발된 모델입니다**
**The license is `cc-by-nc-sa-4.0`.**
# **Ko-Platypus2-7B-EX**
**More detail repo(Github): [KO-Platypus](https://gith... | 11,852 | [
[
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0.01203155517578125,
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-0.051177978515625,
0.01459503... |
PM-AI/bi-encoder_msmarco_bert-base_german | 2023-08-18T06:29:03.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"information retrieval",
"ir",
"documents retrieval",
"passage retrieval",
"beir",
"benchmark",
"qrel",
"sts",
"semantic search",
"feature-extraction",
"sentence-similarity",
"transformers",
"de",
"dataset:germandpr-beir",
"arxiv:2108.138... | sentence-similarity | PM-AI | null | null | PM-AI/bi-encoder_msmarco_bert-base_german | 7 | 1,857 | sentence-transformers | 2022-11-23T08:29:39 | ---
language: de
datasets:
- germandpr-beir
pipeline_tag: sentence-similarity
tags:
- information retrieval
- ir
- documents retrieval
- passage retrieval
- beir
- benchmark
- qrel
- sts
- semantic search
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
task_categories:
- sentence-simil... | 16,261 | [
[
-0.0309906005859375,
-0.02862548828125,
0.0152130126953125,
0.0207061767578125,
-0.016998291015625,
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-0.028411865234375,
-0.018096923828125,
0.0181732177734375,
0.026031494140625,
-0.04046630859375,
-0.059600830078125,
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... |
google/tapas-large-finetuned-sqa | 2021-11-29T13:03:46.000Z | [
"transformers",
"pytorch",
"tf",
"tapas",
"table-question-answering",
"en",
"dataset:msr_sqa",
"arxiv:2004.02349",
"arxiv:2010.00571",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | table-question-answering | google | null | null | google/tapas-large-finetuned-sqa | 4 | 1,855 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- tapas
license: apache-2.0
datasets:
- msr_sqa
---
# TAPAS large model fine-tuned on Sequential Question Answering (SQA)
This model has 2 versions which can be used. The default version corresponds to the `tapas_sqa_inter_masklm_large_reset` checkpoint of the [original Github repository](https... | 7,702 | [
[
-0.04083251953125,
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0.0173797607421875,
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-0.027801513671875,
-0.0367431640625,
0.00743... |
microsoft/Promptist | 2023-01-24T17:21:42.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | microsoft | null | null | microsoft/Promptist | 49 | 1,855 | transformers | 2022-12-19T07:43:54 | # Promptist: reinforcement learning for automatic prompt optimization
## News
- [Demo Release] Dec, 2022: [Demo at HuggingFace Space](https://aka.ms/promptist-demo)
- [Model Release] Dec, 2022: [link](#load-pretrained-model-for-stable-diffusion-v14)
- [Paper Release] Dec, 2022: [Optimizing Prompts for Text-to-Image Ge... | 2,842 | [
[
-0.0360107421875,
-0.0703125,
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0.03125,
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0.004505157470703125,
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0.007106781005859375,
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-0.033477783203125,
0.027221679... |
michellejieli/inappropriate_text_classifier | 2022-12-10T20:08:21.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"distilroberta",
"sentiment",
"NSFW",
"inappropriate",
"spam",
"twitter",
"reddit",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | michellejieli | null | null | michellejieli/inappropriate_text_classifier | 6 | 1,854 | transformers | 2022-12-10T20:00:03 | ---
license: creativeml-openrail-m
language: "en"
tags:
- distilroberta
- sentiment
- NSFW
- inappropriate
- spam
- twitter
- reddit
widget:
- text: "I like you. You remind me of me when I was young and stupid."
- text: "I see you’ve set aside this special time to humiliate yourself in public."
- text: "Have a great ... | 1,799 | [
[
-0.0272064208984375,
-0.06903076171875,
0.0153961181640625,
0.034698486328125,
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0.0020427703857421875,
-0.032196044921875,
-0.00603485107421875,
0.00867462158203125,
-0.0295257568359375,
-0.042236328125,
-0.0712890625,
... |
facebook/mask2former-swin-base-coco-instance | 2023-09-07T15:38:41.000Z | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-base-coco-instance | 0 | 1,853 | transformers | 2022-11-28T11:57:43 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- coco
widget:
- src: http://images.cocodataset.org/val2017/000000039769.jpg
example_title: Cats
- src: http://images.cocodataset.org/val2017/000000039770.jpg
example_title: Castle
---
# Mask2Former
Mask2Former model trained on COCO instance segment... | 3,190 | [
[
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0.039794921875,
-0.0450439453125,
-0.020782470703125,
-0.05615234375,
-0.02862548828125... |
Manasa1G/my-pet-dog | 2023-10-08T14:15:38.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Manasa1G | null | null | Manasa1G/my-pet-dog | 0 | 1,853 | diffusers | 2023-10-08T14:10:44 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by Manasa1G following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
![0](https://huggingface.... | 385 | [
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-0.061737060546875,
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0.00220680236816406... |
wisdomik/QuiltNet-B-32 | 2023-10-23T22:36:31.000Z | [
"open_clip",
"pytorch",
"clip",
"zero-shot-image-classification",
"vision",
"language",
"histopathology",
"histology",
"medical",
"arxiv:2306.11207",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | wisdomik | null | null | wisdomik/QuiltNet-B-32 | 12 | 1,851 | open_clip | 2023-06-19T17:42:04 | ---
tags:
- zero-shot-image-classification
- clip
- vision
- language
- histopathology
- histology
- medical
library_tag: open_clip
license: mit
widget:
- src: >-
https://quilt1m.github.io/img/BREST092.jpg
candidate_labels: adipose tissue, debris tissue, lymphocytes tissue, mucus tissue, smooth muscle tissu... | 5,958 | [
[
-0.0357666015625,
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-0.021240234375,
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-0.0416259765625,
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0.0022... |
timm/efficientvit_b2.r224_in1k | 2023-08-18T22:45:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2205.14756",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_b2.r224_in1k | 0 | 1,850 | timm | 2023-08-18T22:45:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientvit_b2.r224_in1k
An EfficientViT (MIT) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | 3,665 | [
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CausalLM/14B | 2023-11-05T17:42:18.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama2",
"qwen",
"en",
"zh",
"dataset:JosephusCheung/GuanacoDataset",
"dataset:Open-Orca/OpenOrca",
"dataset:stingning/ultrachat",
"dataset:meta-math/MetaMathQA",
"dataset:liuhaotian/LLaVA-Instruct-150K",
"dataset:jondurbin/airoboros-... | text-generation | CausalLM | null | null | CausalLM/14B | 212 | 1,850 | transformers | 2023-10-22T11:19:12 | ---
license: wtfpl
datasets:
- JosephusCheung/GuanacoDataset
- Open-Orca/OpenOrca
- stingning/ultrachat
- meta-math/MetaMathQA
- liuhaotian/LLaVA-Instruct-150K
- jondurbin/airoboros-3.1
- WizardLM/WizardLM_evol_instruct_V2_196k
- RyokoAI/ShareGPT52K
- RyokoAI/Fandom23K
- milashkaarshif/MoeGirlPedia_wikitext_raw_archive... | 10,258 | [
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TheBloke/Xwin-LM-70B-V0.1-GPTQ | 2023-09-27T12:53:53.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Xwin-LM-70B-V0.1-GPTQ | 34 | 1,849 | transformers | 2023-09-21T08:50:07 | ---
license: llama2
model_name: Xwin-LM 70B V0.1
base_model: Xwin-LM/Xwin-LM-70b-V0.1
inference: false
model_creator: Xwin-LM
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.
... | 27,248 | [
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Kha37lid/khalidouaze | 2023-10-14T02:34:47.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Kha37lid | null | null | Kha37lid/khalidouaze | 0 | 1,848 | diffusers | 2023-10-14T02:28:53 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Khalidouaze Dreambooth model trained by Kha37lid with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab ... | 501 | [
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gagan3012/k2t-base | 2021-09-22T08:27:23.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"keytotext",
"k2t-base",
"Keywords to Sentences",
"en",
"dataset:WebNLG",
"dataset:Dart",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | gagan3012 | null | null | gagan3012/k2t-base | 2 | 1,847 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: Keywords to Sentences
tags:
- keytotext
- k2t-base
- Keywords to Sentences
license: mit
datasets:
- WebNLG
- Dart
metrics:
- NLG
---
# keytotext
Idea is to build a model... | 2,355 | [
[
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-0.0380249023437... |
zeroshot/bge-large-en-v1.5-quant | 2023-11-01T17:50:55.000Z | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"sparse sparsity quantized onnx embeddings int8",
"mteb",
"en",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | zeroshot | null | null | zeroshot/bge-large-en-v1.5-quant | 9 | 1,846 | transformers | 2023-10-03T15:50:50 | ---
license: mit
language:
- en
tags:
- sparse sparsity quantized onnx embeddings int8
- mteb
model-index:
- name: bge-large-en-v1.5-quant
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
s... | 13,850 | [
[
-0.03265380859375,
-0.053985595703125,
0.03753662109375,
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-0.004119873046875,
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-0.0225372314453125,
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0.019195556640625,
0.029510498046875,
-0.06072998046875,
-0.0594482421875,
-0.0487060546875,
-0.0015... |
replit/replit-code-v1-3b | 2023-07-21T20:01:01.000Z | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"code",
"custom_code",
"dataset:bigcode/the-stack-dedup",
"arxiv:2211.15533",
"arxiv:2205.14135",
"arxiv:2108.12409",
"arxiv:2302.06675",
"license:cc-by-sa-4.0",
"model-index",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | replit | null | null | replit/replit-code-v1-3b | 694 | 1,844 | transformers | 2023-04-28T19:00:45 | ---
license: cc-by-sa-4.0
datasets:
- bigcode/the-stack-dedup
tags:
- code
language:
- code
programming_language:
- Markdown
- Java
- JavaScript
- Python
- TypeScript
- PHP
- SQL
- JSX
- reStructuredText
- Rust
- C
- CSS
- Go
- C++
- HTML
- Vue
- Ruby
- Jupyter Notebook
- R
- Shell
model-index:
- name: replit-code-v1-... | 8,734 | [
[
-0.027984619140625,
-0.04022216796875,
0.0082550048828125,
0.0277557373046875,
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-0.002506256103515625,
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0.00814056396484375,
0.0299072265625,
-0.04437255859375,
-0.038970947265625,
-0.041290283203125,
... |
tomh/toxigen_hatebert | 2022-05-02T12:42:51.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"en",
"arxiv:2203.09509",
"endpoints_compatible",
"region:us",
"has_space"
] | text-classification | tomh | null | null | tomh/toxigen_hatebert | 5 | 1,843 | transformers | 2022-05-01T13:02:09 | ---
language:
- en
tags:
- text-classification
---
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, Ece Kamar.
This model comes from the paper [ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection](https://arxiv.org/abs/2203.09509) and can... | 904 | [
[
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0.030517578125,
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-0.022857666015625,
-0.037353515625,
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0.0226593017578125,
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-0.060089111328125,
-0.0657958984375,
-0.0079193115... |
timm/maxvit_xlarge_tf_512.in21k_ft_in1k | 2023-05-11T00:45:37.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_xlarge_tf_512.in21k_ft_in1k | 1 | 1,842 | timm | 2022-12-02T22:00:30 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for maxvit_xlarge_tf_512.in21k_ft_in1k
An official MaxViT image classification model. Pretrained in tensorflow on ImageNet-21k (21843 Google specific instance of ImageNet-22k) and fine... | 22,298 | [
[
-0.052947998046875,
-0.0310516357421875,
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0.01617431640625,
-0.042694091796875,
-0.045806884765625,
-0.04766845703125,
-... |
stablediffusionapi/anything-midjourney | 2023-08-29T18:12:30.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/anything-midjourney | 10 | 1,841 | diffusers | 2023-05-19T07:51:11 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# anything midjourney v4.1 API Inference
![generated from stablediffusionapi.com](https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/0-2d33e5f3-3604-4563-ad0... | 2,481 | [
[
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-0.060302734375,
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0.037872314453125,
0.0396728515625,
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-0.0229034423828125,
-0.00859... |
google/pix2struct-docvqa-large | 2023-05-19T10:07:12.000Z | [
"transformers",
"pytorch",
"pix2struct",
"text2text-generation",
"visual-question-answering",
"en",
"fr",
"ro",
"de",
"multilingual",
"arxiv:2210.03347",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"region:us"
] | visual-question-answering | google | null | null | google/pix2struct-docvqa-large | 23 | 1,840 | transformers | 2023-03-21T09:14:02 | ---
language:
- en
- fr
- ro
- de
- multilingual
pipeline_tag: visual-question-answering
inference: false
license: apache-2.0
---
# Model card for Pix2Struct - Finetuned on Doc-VQA (Visual Question Answering over scanned documents) - large version
![model_image](https://s3.amazonaws.com/moonup/production/u... | 4,490 | [
[
-0.0289306640625,
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0.03265380859375,
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-0.01401519775390625,
0.029083251953125,
-0.0455322265625,
-0.01727294921875,
-0.05242919921875,
... |
timm/davit_tiny.msft_in1k | 2023-01-27T21:48:29.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.03645",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/davit_tiny.msft_in1k | 0 | 1,839 | timm | 2023-01-27T21:48:16 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for davit_tiny.msft_in1k
A DaViT image classification model. Trained on ImageNet-1k by paper authors.
Thanks to [Fredo Guan](https://github.com/fffffgggg54) for bringing the classification backbone t... | 4,046 | [
[
-0.04144287109375,
-0.036285400390625,
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0.026885986328125,
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-... |
google/pix2struct-large | 2023-09-06T19:15:16.000Z | [
"transformers",
"pytorch",
"safetensors",
"pix2struct",
"text2text-generation",
"image-to-text",
"en",
"fr",
"ro",
"de",
"multilingual",
"arxiv:2210.03347",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"region:us"
] | image-to-text | google | null | null | google/pix2struct-large | 24 | 1,839 | transformers | 2023-03-22T09:15:13 | ---
language:
- en
- fr
- ro
- de
- multilingual
pipeline_tag: image-to-text
inference: false
license: apache-2.0
---
# Model card for Pix2Struct - Pretrained weights - large version
This model is... | 4,328 | [
[
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0.029052734375,
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0.029449462890625,
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-0.0172271728515625,
-0.053955078125,
-0.008865... |
cyberagent/open-calm-1b | 2023-05-18T01:11:30.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"japanese",
"causal-lm",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:mc4",
"license:cc-by-sa-4.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | cyberagent | null | null | cyberagent/open-calm-1b | 12 | 1,839 | transformers | 2023-05-15T07:00:18 | ---
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
- mc4
language:
- ja
tags:
- japanese
- causal-lm
inference: false
---
# OpenCALM-1B
## Model Description
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.
## Usage
```python
import torch
from t... | 3,366 | [
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0... |
intfloat/e5-base-unsupervised | 2023-07-27T04:36:18.000Z | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"Sentence Transformers",
"sentence-similarity",
"en",
"arxiv:2212.03533",
"arxiv:2104.08663",
"arxiv:2210.07316",
"license:mit",
"endpoints_compatible",
"region:us"
] | sentence-similarity | intfloat | null | null | intfloat/e5-base-unsupervised | 1 | 1,837 | sentence-transformers | 2023-01-31T03:03:25 | ---
tags:
- Sentence Transformers
- sentence-similarity
- sentence-transformers
language:
- en
license: mit
---
# E5-base-unsupervised
**This model is similar to [e5-base](https://huggingface.co/intfloat/e5-base) but without supervised fine-tuning.**
[Text Embeddings by Weakly-Supervised Contrastive Pre-training](htt... | 5,087 | [
[
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... |
WizardLM/WizardCoder-1B-V1.0 | 2023-08-31T08:09:07.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"arxiv:2303.08774",
"license:bigcode-openrail-m",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | WizardLM | null | null | WizardLM/WizardCoder-1B-V1.0 | 20 | 1,835 | transformers | 2023-08-27T05:28:24 | ---
license: bigcode-openrail-m
metrics:
- code_eval
library_name: transformers
tags:
- code
model-index:
- name: WizardCoder-1B-V1.0
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
type: pass@1
value: 0.238
... | 9,326 | [
[
-0.047760009765625,
-0.033416748046875,
-0.0070037841796875,
0.0266265869140625,
0.003326416015625,
-0.01239013671875,
0.002582550048828125,
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0.0158538818359375,
0.0211944580078125,
-0.04876708984375,
-0.0469970703125,
-0.03863525390625,
0.... |
stablediffusionapi/crystal-clear-xlv1 | 2023-09-11T11:40:38.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/crystal-clear-xlv1 | 3 | 1,833 | diffusers | 2023-09-11T11:38:30 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Crystal Clear XL_V1 API Inference
## Get API Key
Get... | 2,490 | [
[
-0.0224761962890625,
-0.05047607421875,
0.034423828125,
0.013763427734375,
-0.040435791015625,
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0.0254058837890625,
-0.02960205078125,
0.03826904296875,
0.047943115234375,
-0.061279296875,
-0.068115234375,
-0.024139404296875,
0.000653266... |
digitalepidemiologylab/covid-twitter-bert-v2 | 2021-09-22T08:20:06.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"Twitter",
"COVID-19",
"en",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | digitalepidemiologylab | null | null | digitalepidemiologylab/covid-twitter-bert-v2 | 4 | 1,831 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: https://raw.githubusercontent.com/digitalepidemiologylab/covid-twitter-bert/master/images/COVID-Twitter-BERT_small.png
tags:
- Twitter
- COVID-19
license: mit
---
# COVID-Twitter-BERT v2
## Model description
BERT-large-uncased model, pretrained on a corpus of messages from Twitter about C... | 2,359 | [
[
-0.00887298583984375,
-0.051513671875,
0.0025787353515625,
0.0221710205078125,
-0.031280517578125,
0.0155181884765625,
-0.0114898681640625,
-0.038360595703125,
0.029632568359375,
0.0235595703125,
-0.041290283203125,
-0.034088134765625,
-0.057525634765625,
-0... |
timm/vit_small_patch16_224.augreg_in1k | 2023-05-06T00:27:50.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_small_patch16_224.augreg_in1k | 0 | 1,830 | timm | 2022-12-22T07:53:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_small_patch16_224.augreg_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-1k (with additional augmentation and regularization) in JAX by paper authors, ported t... | 3,797 | [
[
-0.039703369140625,
-0.0303955078125,
-0.002384185791015625,
0.0041351318359375,
-0.0289459228515625,
-0.0288543701171875,
-0.0214996337890625,
-0.034698486328125,
0.0157470703125,
0.0227508544921875,
-0.041778564453125,
-0.03631591796875,
-0.04705810546875,
... |
InstaDeepAI/nucleotide-transformer-500m-1000g | 2023-10-11T12:29:40.000Z | [
"transformers",
"pytorch",
"tf",
"esm",
"fill-mask",
"DNA",
"biology",
"genomics",
"dataset:InstaDeepAI/nucleotide_transformer_downstream_tasks",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | InstaDeepAI | null | null | InstaDeepAI/nucleotide-transformer-500m-1000g | 3 | 1,830 | transformers | 2023-04-04T21:45:04 | ---
license: cc-by-nc-sa-4.0
widget:
- text: ACCTGA<mask>TTCTGAGTC
tags:
- DNA
- biology
- genomics
datasets:
- InstaDeepAI/nucleotide_transformer_downstream_tasks
---
# nucleotide-transformer-500m-1000g model
The Nucleotide Transformers are a collection of foundational language models that were pre-trained on DNA seq... | 6,251 | [
[
-0.040985107421875,
-0.041900634765625,
0.0019083023071289062,
-0.01010894775390625,
-0.0248260498046875,
0.006565093994140625,
-0.004215240478515625,
-0.007083892822265625,
0.0310821533203125,
0.01558685302734375,
-0.03826904296875,
-0.03118896484375,
-0.057617... |
corrius/cross-encoder-mmarco-mMiniLMv2-L12-H384-v1 | 2023-09-28T13:31:41.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | corrius | null | null | corrius/cross-encoder-mmarco-mMiniLMv2-L12-H384-v1 | 0 | 1,830 | transformers | 2023-09-21T09:31:28 | # Model Name: mmarco-mMiniLMv2-L12-H384-v1
This model is a re-upload of the `mmarco-mMiniLMv2-L12-H384-v1` from the `cross-encoder` user on HuggingFace. The intent is to provide continued access to the community after its original removal from HuggingFace Model Hub.
## Original Model Information
- **Author**: cross-... | 1,069 | [
[
-0.03192138671875,
-0.033111572265625,
0.0156402587890625,
0.02227783203125,
-0.026702880859375,
-0.00673675537109375,
0.01303863525390625,
-0.02716064453125,
0.02996826171875,
0.037933349609375,
-0.0712890625,
-0.030548095703125,
-0.0721435546875,
0.0049476... |
shekar426/my-lion | 2023-10-12T12:52:57.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | shekar426 | null | null | shekar426/my-lion | 1 | 1,829 | diffusers | 2023-10-09T11:37:05 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-lion Dreambooth model trained by shekar426 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: ANURAG-HYD-272
Sample pictures of this concept:
![0](https://huggi... | 707 | [
[
-0.05657958984375,
-0.00286865234375,
0.007801055908203125,
0.031982421875,
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0.0377197265625,
0.02691650390625,
-0.03228759765625,
0.0552978515625,
0.0250701904296875,
-0.052642822265625,
-0.0251617431640625,
-0.03271484375,
0.0003819465... |
TheBloke/Llama-2-13B-chat-GGML | 2023-09-27T13:00:18.000Z | [
"transformers",
"llama",
"facebook",
"meta",
"pytorch",
"llama-2",
"text-generation",
"en",
"arxiv:2307.09288",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-13B-chat-GGML | 623 | 1,828 | transformers | 2023-07-18T18:03:26 | ---
language:
- en
license: other
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 13B Chat
inference: false
model_creator: Meta Llama 2
model_link: https://huggingface.co/meta-llama/Llama-2-13b-chat-hf
model_type: llama
pipeline_tag: text-generation
quantized_by: TheBloke
base_model: meta-llama/... | 24,457 | [
[
-0.038299560546875,
-0.06451416015625,
0.0262451171875,
0.02752685546875,
-0.03912353515625,
0.002864837646484375,
-0.003406524658203125,
-0.05096435546875,
0.03204345703125,
0.001865386962890625,
-0.0452880859375,
-0.0421142578125,
-0.043731689453125,
0.005... |
indobenchmark/indobert-large-p2 | 2021-05-19T20:28:22.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"indobert",
"indobenchmark",
"indonlu",
"id",
"dataset:Indo4B",
"arxiv:2009.05387",
"license:mit",
"region:us"
] | feature-extraction | indobenchmark | null | null | indobenchmark/indobert-large-p2 | 2 | 1,825 | transformers | 2022-03-02T23:29:05 | ---
language: id
tags:
- indobert
- indobenchmark
- indonlu
license: mit
inference: false
datasets:
- Indo4B
---
# IndoBERT Large Model (phase2 - uncased)
[IndoBERT](https://arxiv.org/abs/2009.05387) is a state-of-the-art language model for Indonesian based on the BERT model. The pretrained model is trained using a m... | 2,715 | [
[
-0.0277862548828125,
-0.03363037109375,
0.0142822265625,
0.037353515625,
-0.033203125,
-0.0205841064453125,
-0.04486083984375,
-0.031036376953125,
0.019744873046875,
0.034942626953125,
-0.021026611328125,
-0.023834228515625,
-0.0498046875,
0.0244903564453125... |
Babelscape/mrebel-large | 2023-06-20T15:40:58.000Z | [
"transformers",
"pytorch",
"safetensors",
"mbart",
"text2text-generation",
"seq2seq",
"relation-extraction",
"translation",
"ar",
"ca",
"de",
"el",
"en",
"es",
"fr",
"hi",
"it",
"ja",
"ko",
"nl",
"pl",
"pt",
"ru",
"sv",
"vi",
"zh",
"dataset:Babelscape/SREDFM",
"... | translation | Babelscape | null | null | Babelscape/mrebel-large | 28 | 1,824 | transformers | 2023-06-12T13:40:27 | ---
language:
- ar
- ca
- de
- el
- en
- es
- fr
- hi
- it
- ja
- ko
- nl
- pl
- pt
- ru
- sv
- vi
- zh
widget:
- text: >-
Els Red Hot Chili Peppers es van formar a Los Angeles per Kiedis, Flea, el
guitarrista Hillel Slovak i el bateria Jack Irons.
example_title: Catalan
inference:
parameters:
decoder_s... | 8,332 | [
[
-0.01213836669921875,
-0.045257568359375,
0.0120391845703125,
0.026702880859375,
-0.006256103515625,
-0.004085540771484375,
-0.0181884765625,
-0.0135040283203125,
0.0180511474609375,
0.0258941650390625,
-0.050384521484375,
-0.049896240234375,
-0.0299530029296875... |
Yntec/m0nst3rfy3 | 2023-11-01T19:43:29.000Z | [
"diffusers",
"Anime",
"Monsters",
"Comic",
"LDWorksDervlex",
"DucHaiten",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/m0nst3rfy3 | 2 | 1,824 | diffusers | 2023-10-29T21:20:49 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Monsters
- Comic
- LDWorksDervlex
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# M0nst3rfy
Use m0nst3rfy3 in your prompt for a stronger effect.
DucHa... | 1,420 | [
[
-0.03485107421875,
-0.033599853515625,
0.02301025390625,
0.0273284912109375,
-0.035125732421875,
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0.0183868408203125,
-0.023895263671875,
0.060943603515625,
0.05078125,
-0.040924072265625,
-0.0132598876953125,
-0.052947998046875,
0.00043010... |
ThomasSimonini/t5-end2end-question-generation | 2021-10-10T08:30:38.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | ThomasSimonini | null | null | ThomasSimonini/t5-end2end-question-generation | 14 | 1,823 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: t5-end2end-question-generation
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: squad
type: squad
args: plain_text
---
# t5-end2end-... | 4,692 | [
[
-0.050933837890625,
-0.052490234375,
0.01371002197265625,
0.0078582763671875,
0.0033931732177734375,
-0.0180511474609375,
-0.01104736328125,
-0.004001617431640625,
0.003978729248046875,
0.028900146484375,
-0.06243896484375,
-0.034515380859375,
-0.032989501953125... |
flax-sentence-embeddings/st-codesearch-distilroberta-base | 2021-07-05T11:40:15.000Z | [
"sentence-transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"dataset:code_search_net",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | flax-sentence-embeddings | null | null | flax-sentence-embeddings/st-codesearch-distilroberta-base | 26 | 1,823 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
datasets:
- code_search_net
---
# flax-sentence-embeddings/st-codesearch-distilroberta-base
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional... | 3,708 | [
[
-0.0306549072265625,
-0.0626220703125,
0.0269622802734375,
0.013824462890625,
-0.004001617431640625,
-0.02349853515625,
-0.027862548828125,
0.006549835205078125,
0.01361083984375,
0.014556884765625,
-0.050018310546875,
-0.05047607421875,
-0.050628662109375,
... |
johngiorgi/declutr-base | 2022-08-10T00:36:40.000Z | [
"sentence-transformers",
"pytorch",
"jax",
"roberta",
"feature-extraction",
"sentence-similarity",
"en",
"dataset:openwebtext",
"arxiv:2006.03659",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"has_space"
] | sentence-similarity | johngiorgi | null | null | johngiorgi/declutr-base | 7 | 1,823 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
datasets:
- openwebtext
---
# DeCLUTR-base
## Model description
The "DeCLUTR-base" model from our paper: [DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Represe... | 3,088 | [
[
-0.0164642333984375,
-0.045501708984375,
0.03369140625,
0.01052093505859375,
-0.034149169921875,
-0.0158843994140625,
-0.0276641845703125,
-0.0268096923828125,
0.012664794921875,
0.0286712646484375,
-0.037628173828125,
-0.061798095703125,
-0.047210693359375,
... |
KBLab/megatron-bert-large-swedish-cased-110k | 2022-05-03T08:57:56.000Z | [
"transformers",
"pytorch",
"megatron-bert",
"sv",
"endpoints_compatible",
"region:us"
] | null | KBLab | null | null | KBLab/megatron-bert-large-swedish-cased-110k | 1 | 1,822 | transformers | 2022-03-17T10:29:51 | ---
language:
- sv
---
# Megatron-BERT-large Swedish 110k
This BERT model was trained using the Megatron-LM library.
The size of the model is a regular BERT-large with 340M parameters.
The model was trained on about 70GB of data, consisting mostly of OSCAR and Swedish newspaper text curated by the National Library o... | 1,298 | [
[
-0.0548095703125,
-0.024810791015625,
0.038299560546875,
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-0.0294189453125,
-0.0222320556640625,
-0.0071258544921875,
-0.0266265869140625,
0.026458740234375,
0.035614013671875,
-0.047607421875,
-0.018280029296875,
-0.0390625,
0.015701293945... |
persiannlp/mt5-large-parsinlu-opus-translation_fa_en | 2021-09-23T16:20:17.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"machine-translation",
"persian",
"farsi",
"fa",
"multilingual",
"dataset:parsinlu",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | persiannlp | null | null | persiannlp/mt5-large-parsinlu-opus-translation_fa_en | 1 | 1,821 | transformers | 2022-03-02T23:29:05 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- machine-translation
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
metrics:
- sacrebleu
---
# Machine Translation (ترجمهی ماشینی)
This is an mT5-based model for machine translatio... | 1,559 | [
[
-0.022308349609375,
-0.04864501953125,
0.0192718505859375,
0.02008056640625,
-0.043914794921875,
0.002246856689453125,
-0.0045623779296875,
0.0026340484619140625,
-0.002162933349609375,
0.05029296875,
-0.046722412109375,
-0.046417236328125,
-0.0465087890625,
... |
foduucom/table-detection-and-extraction | 2023-08-06T09:33:39.000Z | [
"ultralytics",
"tensorboard",
"v8",
"ultralyticsplus",
"yolov8",
"yolo",
"vision",
"object-detection",
"pytorch",
"table detection",
"table extraction",
"table classification",
"document analysis",
"unstructured document",
"unstructured table extraction",
"structured table extraction",... | object-detection | foduucom | null | null | foduucom/table-detection-and-extraction | 10 | 1,821 | ultralytics | 2023-08-05T09:44:39 | ---
tags:
- ultralyticsplus
- yolov8
- ultralytics
- yolo
- vision
- object-detection
- pytorch
- table detection
- table extraction
- table classification
- document analysis
- unstructured document
- unstructured table extraction
- structured table extraction
- unstructured table detection
- structured table detectio... | 7,640 | [
[
-0.029876708984375,
-0.0577392578125,
0.031890869140625,
-0.054473876953125,
-0.0306243896484375,
-0.03826904296875,
0.019775390625,
-0.04962158203125,
-0.0043487548828125,
0.048980712890625,
-0.014434814453125,
-0.05352783203125,
-0.0170745849609375,
0.0021... |
cl-tohoku/bert-base-japanese-char-whole-word-masking | 2021-09-23T13:45:26.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ja",
"dataset:wikipedia",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | cl-tohoku | null | null | cl-tohoku/bert-base-japanese-char-whole-word-masking | 3 | 1,818 | transformers | 2022-03-02T23:29:05 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
widget:
- text: 仙台は「[MASK]の都」と呼ばれている。
---
# BERT base Japanese (character tokenization, whole word masking enabled)
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
This version of the model proc... | 2,083 | [
[
-0.0311431884765625,
-0.064453125,
0.01499176025390625,
0.02154541015625,
-0.044586181640625,
-0.0025844573974609375,
-0.0215911865234375,
-0.035400390625,
0.038238525390625,
0.048431396484375,
-0.05487060546875,
-0.04022216796875,
-0.05316162109375,
0.00341... |
microsoft/git-base-vatex | 2023-09-15T19:52:10.000Z | [
"transformers",
"pytorch",
"safetensors",
"git",
"text-generation",
"vision",
"en",
"arxiv:2205.14100",
"license:mit",
"has_space",
"region:us"
] | text-generation | microsoft | null | null | microsoft/git-base-vatex | 1 | 1,818 | transformers | 2023-01-02T10:44:05 | ---
language: en
license: mit
tags:
- vision
inference: false
model_name: microsoft/git-base-vatex
---
# GIT (GenerativeImage2Text), base-sized, fine-tuned on VATEX
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on VATEX. It was introduced in the paper [GIT: A Generative Image-to-text Tran... | 3,125 | [
[
-0.044952392578125,
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0.020721435546875,
0.034210205078125,
-0.045074462890625,
-0.0301971435546875,
-0.06610107421875,... |
LucasDash/dash-wdm | 2023-04-26T01:04:55.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | LucasDash | null | null | LucasDash/dash-wdm | 11 | 1,817 | diffusers | 2023-02-06T21:35:27 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- image-to-image
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
---
# Dash Waifu Diffusion Mixs
Stable Diffusion ... | 5,246 | [
[
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-0.06707763671875,
-0.037139892578125,
-0.040802001953125,
0.009750366... |
m3hrdadfi/gpt2-QA | 2021-08-11T11:26:26.000Z | [
"transformers",
"pytorch",
"tf",
"gpt2",
"text-generation",
"en",
"dataset:squad",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | m3hrdadfi | null | null | m3hrdadfi/gpt2-QA | 1 | 1,816 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- squad
tags:
- text-generation
---
# GPT2 QA
Using GPT2 in other downstream NLP tasks like QA. The model was trained and evaluated on [squad](https://huggingface.co/datasets/squad).
## Dataset
- [squad](https://huggingface.co/datasets/squad)
## Evaluation
The following table summarizes t... | 478 | [
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0.0237579345703125,
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-0.039215087890625,
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... |
MIT/ast-finetuned-speech-commands-v2 | 2023-09-10T18:03:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"audio-spectrogram-transformer",
"audio-classification",
"dataset:speech_commands",
"arxiv:2104.01778",
"license:bsd-3-clause",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | MIT | null | null | MIT/ast-finetuned-speech-commands-v2 | 6 | 1,816 | transformers | 2022-11-14T19:11:22 | ---
license: bsd-3-clause
datasets:
- speech_commands
tags:
- audio-classification
model-index:
- name: MIT/ast-finetuned-speech-commands-v2
results:
- task:
type: audio-classification
dataset:
name: Speech Commands v2
type: speech_commands
metrics:
- type: accuracy
value: 98.12
... | 1,405 | [
[
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0.038909912109375,
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-0.027557373046875,
-0.058319091796875,
-... |
timm/vit_small_patch32_384.augreg_in21k_ft_in1k | 2023-05-06T00:29:51.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_small_patch32_384.augreg_in21k_ft_in1k | 0 | 1,816 | timm | 2022-12-22T07:55:41 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_small_patch32_384.augreg_in21k_ft_in1k
A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additional augmentatio... | 3,907 | [
[
-0.039947509765625,
-0.028289794921875,
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0.0144500732421875,
0.0224761962890625,
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-0.036102294921875,
-0.04705810546875,
0.0014... |
timm/maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k | 2023-05-11T00:17:26.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2204.01697",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k | 1 | 1,813 | timm | 2023-01-20T21:32:38 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k
A timm specific MaxViT (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model... | 22,498 | [
[
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0.050048828125,
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-0.... |
jhu-clsp/bernice | 2023-04-05T05:16:41.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"fill-mask",
"en",
"es",
"pt",
"ja",
"ar",
"in",
"ko",
"tr",
"fr",
"tl",
"ru",
"und",
"it",
"th",
"de",
"hi",
"pl",
"nl",
"fa",
"et",
"ht",
"ur",
"sv",
"ca",
"el",
"fi",
"cs",
"iw",
"da",
"vi... | fill-mask | jhu-clsp | null | null | jhu-clsp/bernice | 4 | 1,809 | transformers | 2022-10-06T17:28:23 | ---
license: mit
datasets:
- jhu-clsp/bernice-pretrain-data
language:
- en
- es
- pt
- ja
- ar
- in
- ko
- tr
- fr
- tl
- ru
- und
- it
- th
- de
- hi
- pl
- nl
- fa
- et
- ht
- ur
- sv
- ca
- el
- fi
- cs
- iw
- da
- vi
- zh
- ta
- ro
- no
- uk
... | 6,939 | [
[
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0.03265380859375,
0.017120361328125,
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-0.0421142578125,
-0.06884765625,
0.01194000... |
pvl/labse_bert | 2021-09-22T09:35:24.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"pretraining",
"embeddings",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | pvl | null | null | pvl/labse_bert | 1 | 1,808 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail:
tags:
- bert
- embeddings
license: apache-2.0
---
# LABSE BERT
## Model description
Model for "Language-agnostic BERT Sentence Embedding" paper from Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Naveen Arivazhagan, Wei Wang. Model available in [TensorFlow Hub](https://tfhub.dev/google/LaBSE/1... | 1,485 | [
[
-0.022674560546875,
-0.049713134765625,
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0.034088134765625,
-0.021759033203125,
-0.01213836669921875,
-0.01422119140625,
0.004009246826171875,
0.012359619140625,
0.018951416015625,
-0.038848876953125,
-0.0296783447265625,
-0.05096435546875,
... |
TheBloke/Mistral-7B-OpenOrca-GGUF | 2023-10-02T23:16:16.000Z | [
"transformers",
"mistral",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Mistral-7B-OpenOrca-GGUF | 168 | 1,807 | transformers | 2023-10-02T14:27:59 | ---
base_model: Open-Orca/Mistral-7B-OpenOrca
datasets:
- Open-Orca/OpenOrca
inference: false
language:
- en
library_name: transformers
license: apache-2.0
model_creator: OpenOrca
model_name: Mistral 7B OpenOrca
model_type: mistral
pipeline_tag: text-generation
prompt_template: '<|im_start|>system
{system_message}<|... | 23,483 | [
[
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0.019775390625,
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-0... |
pierreguillou/bert-large-cased-squad-v1.1-portuguese | 2022-01-04T09:57:00.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"question-answering",
"bert-large",
"pt",
"dataset:brWaC",
"dataset:squad",
"dataset:squad_v1_pt",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | pierreguillou | null | null | pierreguillou/bert-large-cased-squad-v1.1-portuguese | 31 | 1,806 | transformers | 2022-03-02T23:29:05 | ---
language: pt
license: mit
tags:
- question-answering
- bert
- bert-large
- pytorch
datasets:
- brWaC
- squad
- squad_v1_pt
metrics:
- squad
widget:
- text: "Quando começou a pandemia de Covid-19 no mundo?"
context: "A pandemia de COVID-19, também conhecida como pandemia de coronavírus, é uma pandemia em curso de ... | 6,260 | [
[
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0.0266571044921875,
0.0219268798828125,
-0.0494384765625,
-0.031768798828125,
-0.025390625,
0.014... |
timm/efficientformerv2_s2.snap_dist_in1k | 2023-02-03T21:11:30.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2212.08059",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientformerv2_s2.snap_dist_in1k | 1 | 1,805 | timm | 2023-02-03T21:11:23 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientformerv2_s2.snap_dist_in1k
A EfficientFormer-V2 image classification model. Pretrained with distillation on ImageNet-1k.
## Model Details
- **Model Type:** Image classification / feature... | 4,562 | [
[
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-0.034912109375,
0.00928497314453125,
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0.020721435546875,
0.024383544921875,
-0.0296630859375,
-0.03582763671875,
-0.05645751953125,
-0.0... |
facebook/metaclip-b32-400m | 2023-10-08T18:10:52.000Z | [
"transformers",
"pytorch",
"clip",
"zero-shot-image-classification",
"vision",
"metaclip",
"arxiv:2309.16671",
"arxiv:2103.00020",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"has_space"
] | zero-shot-image-classification | facebook | null | null | facebook/metaclip-b32-400m | 22 | 1,805 | transformers | 2023-10-07T14:49:12 | ---
license: cc-by-nc-4.0
tags:
- vision
- metaclip
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
---
# MetaCLIP model, base-sized version, patch resolution 32
MetaCLIP model applied to 4... | 2,012 | [
[
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-0.04791259765625,
-0.0... |
timm/eca_nfnet_l0.ra2_in1k | 2023-03-24T01:12:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2102.06171",
"arxiv:2101.08692",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/eca_nfnet_l0.ra2_in1k | 0 | 1,804 | timm | 2023-03-24T01:12:29 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for eca_nfnet_l0.ra2_in1k
A ECA-NFNet-Lite (Lightweight NFNet w/ ECA attention) image classification model. Trained in `timm` by Ross Wightman.
Normalization Free Networks are (pre-activation) ResNet... | 5,082 | [
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... |
Falah/sdworldlandmarks | 2023-10-14T10:40:09.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Falah | null | null | Falah/sdworldlandmarks | 0 | 1,803 | diffusers | 2023-10-14T07:31:38 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### SDWorldLandmarks Dreambooth model trained by Falah with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Cola... | 503 | [
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0.027008056640625,
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0.044586181640625,
0.01434326171875,
-0.032745361328125,
-0.0295562744140625,
-0.037353515625,
-0.018188... |
google/bit-50 | 2022-12-06T18:06:23.000Z | [
"transformers",
"pytorch",
"bit",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1912.11370",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | google | null | null | google/bit-50 | 0 | 1,801 | transformers | 2022-12-06T17:36:17 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
---
# Big Transfer (BiT)
The BiT model was proposed in [Big Transfer (BiT): General Visual Representation Learning](https://arxiv.org/abs/1912.11370) by Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung,... | 3,509 | [
[
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... |
lolk922/susmosuu | 2023-10-26T13:15:10.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | lolk922 | null | null | lolk922/susmosuu | 1 | 1,801 | diffusers | 2023-10-26T13:09:01 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### susmosuu Dreambooth model trained by lolk922 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fas... | 497 | [
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0.0225372314453125,
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0.058563232421875,
0.01605224609375,
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... |
lodestones/P.A.W.F.E.C.T-Alpha | 2023-09-25T13:09:03.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:wtfpl",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | lodestones | null | null | lodestones/P.A.W.F.E.C.T-Alpha | 9 | 1,800 | diffusers | 2023-07-02T06:03:28 | ---
license: wtfpl
language:
- en
tags:
- stable-diffusion
- text-to-image
inference: true
---
Diffusion model trained on 500k image-tags pairs scraped from Furaffinity. Alpha still, expect more epochs, more training data and overall better results in the future.
![image](https://media.discordapp.net/attachments/110... | 2,111 | [
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-0.042877197265625,
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-0.0... |
veryVANYA/ps1-graphics-sdxl-v2 | 2023-08-25T11:44:21.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"has_space",
"region:us"
] | text-to-image | veryVANYA | null | null | veryVANYA/ps1-graphics-sdxl-v2 | 3 | 1,800 | diffusers | 2023-08-25T11:44:17 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: ps1 style
widget:
- text: ps1 style
---
# PS1 Graphics SDXL
<h3 id="heading-897"><strong>PlayStation 1 (Mid to Late 90s) Nostalgia ... | 1,194 | [
[
-0.0248260498046875,
-0.045928955078125,
0.040679931640625,
0.034393310546875,
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0.03790283203125,
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0.058837890625,
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-0.06329345703125,
-0.044647216796875,
-0.013519287109... |
timm/maxvit_tiny_tf_384.in1k | 2023-05-11T00:23:39.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_tiny_tf_384.in1k | 0 | 1,799 | timm | 2022-12-02T21:57:36 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_tiny_tf_384.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/go... | 22,109 | [
[
-0.052459716796875,
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0.0555419921875,
0.014801025390625,
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-0.04498291015625,
-0.04644775390625,
-0.... |
dmargutierrez/distilbert-base-multilingual-cased-mapa_coarse-ner | 2023-03-17T11:35:00.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"distilbert",
"token-classification",
"generated_from_trainer",
"name-entity-recognition",
"legal",
"en",
"fr",
"it",
"es",
"de",
"nl",
"pl",
"ru",
"pt",
"dataset:lextreme",
"license:apache-2.0",
"model-index",
"autot... | token-classification | dmargutierrez | null | null | dmargutierrez/distilbert-base-multilingual-cased-mapa_coarse-ner | 1 | 1,799 | transformers | 2023-03-17T09:31:36 | ---
license: apache-2.0
tags:
- generated_from_trainer
- name-entity-recognition
- legal
datasets:
- lextreme
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-multilingual-cased-mapa_coarse-ner
results:
- task:
name: Token Classification
type: token-classification
d... | 3,037 | [
[
-0.039642333984375,
-0.041046142578125,
0.02105712890625,
0.009918212890625,
-0.011962890625,
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0.026092529296875,
0.0181121826171875,
-0.04998779296875,
-0.062286376953125,
-0.05242919921875,
-0.... |
baichuan-inc/Baichuan2-13B-Chat-4bits | 2023-10-07T04:31:23.000Z | [
"transformers",
"pytorch",
"baichuan",
"text-generation",
"custom_code",
"en",
"zh",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | baichuan-inc | null | null | baichuan-inc/Baichuan2-13B-Chat-4bits | 62 | 1,799 | transformers | 2023-08-30T10:11:54 | ---
language:
- en
- zh
license: other
tasks:
- text-generation
---
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<div align="center">
<h1>
Baichuan 2
</h1>
</div>
<div align="center">
<a href="https://github.com/baichuan-inc/Baichuan2" target="_blank">🦉GitHub</a> | <a href="... | 13,217 | [
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0.0204620361328125,
0.00800323486328125,
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-0.04736328125,
... |
livingbox/model-test-oct-19 | 2023-10-19T07:51:01.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | livingbox | null | null | livingbox/model-test-oct-19 | 1 | 1,798 | diffusers | 2023-10-19T07:47:17 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Model-test-oct-19 Dreambooth model trained by livingbox with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111... | 508 | [
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-0.032073974609375,
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-0.027496337890625,
-0.0180816650390625,
-0.02276611328125,
-0.005... |
lmqg/bart-large-squad-qg | 2023-01-10T03:00:53.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"question generation",
"en",
"dataset:lmqg/qg_squad",
"arxiv:2210.03992",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | lmqg | null | null | lmqg/bart-large-squad-qg | 0 | 1,795 | transformers | 2022-03-02T23:29:05 |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_squad
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic... | 20,894 | [
[
-0.04364013671875,
-0.042083740234375,
0.0240631103515625,
0.00424957275390625,
-0.007518768310546875,
0.01326751708984375,
-0.007572174072265625,
-0.024627685546875,
0.03863525390625,
0.01373291015625,
-0.08270263671875,
-0.0537109375,
-0.0282745361328125,
... |
Anna11/heera | 2023-07-16T18:13:49.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Anna11 | null | null | Anna11/heera | 1 | 1,795 | diffusers | 2023-07-16T18:01:14 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Heera Dreambooth model trained by Anna11 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast-Co... | 493 | [
[
-0.025146484375,
-0.0621337890625,
0.0423583984375,
0.02362060546875,
-0.0179595947265625,
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0.03033447265625,
-0.0272674560546875,
0.04644775390625,
0.006481170654296875,
-0.011962890625,
-0.0196533203125,
-0.0308074951171875,
-0.0049324035... |
Anmol098765/my-pet-cat-nxt | 2023-10-08T07:05:12.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Anmol098765 | null | null | Anmol098765/my-pet-cat-nxt | 0 | 1,795 | diffusers | 2023-10-08T07:01:02 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Cat-NXT Dreambooth model trained by Anmol098765 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: SIETM-8
Sample pictures of this concept:
![0](https://huggingfa... | 397 | [
[
-0.050567626953125,
-0.0112762451171875,
0.0283050537109375,
0.0231781005859375,
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0.036865234375,
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0.0609130859375,
0.050384521484375,
-0.039215087890625,
-0.01125335693359375,
-0.0146331787109375,
0.01734... |
Aayan2586/nps3d | 2023-10-19T08:02:05.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | Aayan2586 | null | null | Aayan2586/nps3d | 1 | 1,795 | diffusers | 2023-10-19T07:56:34 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### nps3d Dreambooth model trained by Aayan2586 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A1111 Colab [fast... | 496 | [
[
-0.0229339599609375,
-0.05413818359375,
0.043426513671875,
0.041046142578125,
-0.01947021484375,
0.031707763671875,
0.0311431884765625,
-0.0194854736328125,
0.045684814453125,
0.00742340087890625,
-0.013031005859375,
-0.0157928466796875,
-0.04095458984375,
-... |
stablediffusionapi/rev-anim | 2023-04-24T16:00:05.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/rev-anim | 3 | 1,793 | diffusers | 2023-04-24T15:59:18 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Rev Anim API Inference
## Get API Key
... | 2,395 | [
[
-0.031036376953125,
-0.0531005859375,
0.0306396484375,
0.0207366943359375,
-0.0216217041015625,
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0.020263671875,
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0.036407470703125,
0.052032470703125,
-0.07012939453125,
-0.055023193359375,
-0.01995849609375,
0.00100... |
nomic-ai/gpt4all-falcon | 2023-06-27T13:50:35.000Z | [
"transformers",
"pytorch",
"RefinedWebModel",
"text-generation",
"custom_code",
"en",
"dataset:nomic-ai/gpt4all-j-prompt-generations",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | nomic-ai | null | null | nomic-ai/gpt4all-falcon | 32 | 1,793 | transformers | 2023-06-02T18:15:37 | ---
license: apache-2.0
datasets:
- nomic-ai/gpt4all-j-prompt-generations
language:
- en
pipeline_tag: text-generation
---
# Model Card for GPT4All-Falcon
An Apache-2 licensed chatbot trained over a massive curated corpus of assistant interactions including word problems, multi-turn dialogue, code, poems, songs, and ... | 6,798 | [
[
-0.043975830078125,
-0.040008544921875,
0.016571044921875,
0.010498046875,
0.002689361572265625,
0.020233154296875,
0.0166015625,
-0.0217132568359375,
0.03509521484375,
0.00946807861328125,
-0.043243408203125,
-0.03375244140625,
-0.043792724609375,
0.0020980... |
bhavikardeshna/xlm-roberta-base-vietnamese | 2021-12-21T11:39:18.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"question-answering",
"arxiv:2112.09866",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | bhavikardeshna | null | null | bhavikardeshna/xlm-roberta-base-vietnamese | 1 | 1,792 | transformers | 2022-03-02T23:29:05 | # BibTeX entry and citation info
```
@misc{pandya2021cascading,
title={Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages},
author={Hariom A. Pandya and Bhavik Ardeshna and Dr. Brijesh S. Bhatt},
year={2021},
eprint={2112.09866},... | 382 | [
[
-0.02294921875,
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0.0103759765625,
0.018280029296875,
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0.01103973388671875,
0.0012331008911132812,
-0.0303955078125,
0.0151824951171875,
0.00914764404296875,
-0.035797119140625,
-0.005245208740234375,
-0.034942626953125,
... |
stevhliu/my_awesome_billsum_model | 2022-10-11T18:23:16.000Z | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:billsum",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | stevhliu | null | null | stevhliu/my_awesome_billsum_model | 2 | 1,792 | transformers | 2022-10-11T18:04:14 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- billsum
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: billsum
type: billsum
config: default
... | 2,138 | [
[
-0.035797119140625,
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0.00872802734375,
-0.004306793212890625,
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0.0070648193359375,
-0.01953125,
0.01910400390625,
0.03265380859375,
-0.03582763671875,
-0.05255126953125,
-0.049530029296875,
-0.01071... |
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