modelId stringlengths 4 122 | author stringlengths 2 42 ⌀ | last_modified timestamp[us, tz=UTC] | downloads int64 0 74.7M | likes int64 0 9.67k | library_name stringlengths 2 84 ⌀ | tags list | pipeline_tag stringlengths 5 30 ⌀ | createdAt timestamp[us, tz=UTC] | card stringlengths 1 901k | embedding list |
|---|---|---|---|---|---|---|---|---|---|---|
jonatasgrosman/wav2vec2-large-xlsr-53-english | jonatasgrosman | 2023-03-25T10:56:55Z | 74,653,058 | 317 | transformers | [
"transformers",
"pytorch",
"jax",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"en",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_vo... | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: en
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- en
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 ... | [
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bert-base-uncased | null | 2023-06-30T01:42:19Z | 55,618,661 | 1,219 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"coreml",
"onnx",
"safetensors",
"bert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT base model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](http... | [
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openai/clip-vit-large-patch14 | openai | 2023-09-15T15:49:35Z | 31,237,964 | 734 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"clip",
"zero-shot-image-classification",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-image-classification | 2022-03-02T23:29:05Z | ---
tags:
- vision
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
---
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found ... | [
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0.120856180787... |
distilbert-base-uncased-finetuned-sst-2-english | null | 2023-10-26T16:14:11Z | 30,654,240 | 355 | transformers | [
"transformers",
"pytorch",
"tf",
"rust",
"onnx",
"safetensors",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | ---
language: en
license: apache-2.0
datasets:
- sst2
- glue
model-index:
- name: distilbert-base-uncased-finetuned-sst-2-english
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: glue
type: glue
config: sst2
split: validation
metrics:
... | [
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gpt2 | null | 2023-06-30T02:19:43Z | 21,850,807 | 1,516 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"onnx",
"safetensors",
"gpt2",
"text-generation",
"exbert",
"en",
"doi:10.57967/hf/0039",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | 2022-03-02T23:29:04Z | ---
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... | [
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timm/mobilenetv3_large_100.ra_in1k | timm | 2023-04-27T22:49:21Z | 15,846,252 | 17 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.02244",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | 2022-12-16T05:38:07Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mobilenetv3_large_100.ra_in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspi... | [
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distilgpt2 | null | 2023-04-29T12:24:21Z | 14,735,848 | 275 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"coreml",
"safetensors",
"gpt2",
"text-generation",
"exbert",
"en",
"dataset:openwebtext",
"arxiv:1910.01108",
"arxiv:2201.08542",
"arxiv:2203.12574",
"arxiv:1910.09700",
"arxiv:1503.02531",
"license:apache-2.0",
"model-... | text-generation | 2022-03-02T23:29:04Z | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- openwebtext
model-index:
- name: distilgpt2
results:
- task:
type: text-generation
name: Text Generation
dataset:
type: wikitext
name: WikiText-103
metrics:
- type: perplexity
name: Perplexity
... | [
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roberta-base | null | 2023-03-06T15:14:53Z | 14,521,862 | 247 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: en
tags:
- exbert
license: mit
datasets:
- bookcorpus
- wikipedia
---
# RoBERTa base model
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1907.11692) and first released in
[this repository](https://github.com... | [
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0.016096128150... |
stabilityai/stable-diffusion-xl-base-1.0 | stabilityai | 2023-10-30T16:03:47Z | 10,649,877 | 3,677 | diffusers | [
"diffusers",
"onnx",
"text-to-image",
"stable-diffusion",
"arxiv:2307.01952",
"arxiv:2211.01324",
"arxiv:2108.01073",
"arxiv:2112.10752",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | 2023-07-25T13:25:51Z | ---
license: openrail++
tags:
- text-to-image
- stable-diffusion
---
# SD-XL 1.0-base Model Card
## Model
[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324) pipeline for latent diffusion:
In a first step, the bas... | [
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distilbert-base-uncased | null | 2023-08-18T14:59:41Z | 10,387,599 | 308 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"distilbert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# DistilBERT base model (uncased)
This model is a distilled version of the [BERT base model](https://huggingface.co/bert-base-uncased). It was
introduced in [this paper](https://arxiv.org/abs/1910.01108). The code for the disti... | [
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xlm-roberta-base | null | 2023-04-07T12:46:17Z | 10,334,322 | 423 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"xlm-roberta",
"fill-mask",
"exbert",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi... | fill-mask | 2022-03-02T23:29:04Z | ---
tags:
- exbert
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
... | [
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... |
stabilityai/stable-diffusion-xl-refiner-1.0 | stabilityai | 2023-09-25T13:42:56Z | 9,964,151 | 1,117 | diffusers | [
"diffusers",
"stable-diffusion",
"image-to-image",
"arxiv:2307.01952",
"arxiv:2211.01324",
"arxiv:2108.01073",
"arxiv:2112.10752",
"license:openrail++",
"has_space",
"diffusers:StableDiffusionXLImg2ImgPipeline",
"region:us"
] | image-to-image | 2023-07-26T07:38:01Z | ---
license: openrail++
tags:
- stable-diffusion
- image-to-image
---
# SD-XL 1.0-refiner Model Card
## Model
[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324) pipeline for latent diffusion:
In a first step, the... | [
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sentence-transformers/all-mpnet-base-v2 | sentence-transformers | 2023-11-02T09:35:52Z | 9,291,921 | 492 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"mpnet",
"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",
"datas... | sentence-similarity | 2022-03-02T23:29:05Z | ---
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... | [
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-0.7262453436851501,
0.0836281105875... |
openai/clip-vit-base-patch32 | openai | 2022-10-04T09:42:04Z | 8,407,998 | 275 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"clip",
"zero-shot-image-classification",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-image-classification | 2022-03-02T23:29:05Z | ---
tags:
- vision
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
---
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found ... | [
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facebook/bart-large-cnn | facebook | 2023-11-28T09:50:47Z | 7,509,246 | 687 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bart",
"text2text-generation",
"summarization",
"en",
"dataset:cnn_dailymail",
"arxiv:1910.13461",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | 2022-03-02T23:29:05Z | ---
language:
- en
tags:
- summarization
license: mit
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
datasets:
- cnn_dailymail
model-index:
- name: facebook/bart-large-cnn
results:
- task:
type: summarization
name: Summarization
dataset:
name: cnn_dailymail
type: cnn_dai... | [
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0.39330941438674927... |
microsoft/resnet-50 | microsoft | 2023-03-10T17:35:03Z | 7,442,731 | 174 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"resnet",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:1512.03385",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | 2022-03-16T15:42:43Z | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
---
# ResNet-50 v1.5
ResNet model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) by He et al.
Disclaimer: The team ... | [
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runwayml/stable-diffusion-v1-5 | runwayml | 2023-08-23T21:14:19Z | 7,261,639 | 9,670 | diffusers | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2207.12598",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"re... | text-to-image | 2022-10-19T23:38:35Z | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
extra_gated_prompt: |-
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. ... | [
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tiiuae/falcon-7b-instruct | tiiuae | 2023-09-29T14:32:23Z | 7,034,797 | 755 | transformers | [
"transformers",
"pytorch",
"coreml",
"falcon",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2205.14135",
"arxiv:1911.02150",
"arxiv:2005.14165",
"arxiv:2104.09864",
"arxiv:2306.01116",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"t... | text-generation | 2023-04-25T06:21:01Z | ---
datasets:
- tiiuae/falcon-refinedweb
language:
- en
inference: true
widget:
- text: "Hey Falcon! Any recommendations for my holidays in Abu Dhabi?"
example_title: "Abu Dhabi Trip"
- text: "What's the Everett interpretation of quantum mechanics?"
example_title: "Q/A: Quantum & Answers"
- text: "Giv... | [
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-0.7623247504234314,
0.0747865363955... |
cl-tohoku/bert-base-japanese | cl-tohoku | 2021-09-23T13:45:36Z | 7,006,975 | 16 | transformers | [
"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 | 2022-03-02T23:29:05Z | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
widget:
- text: 東北大学で[MASK]の研究をしています。
---
# BERT base Japanese (IPA dictionary)
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
This version of the model processes input texts with word-level to... | [
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-0.6342303156852722,
-0.00377199635... |
roberta-large | null | 2023-03-22T09:25:01Z | 6,875,857 | 136 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1907.11692",
"arxiv:1806.02847",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: en
tags:
- exbert
license: mit
datasets:
- bookcorpus
- wikipedia
---
# RoBERTa large model
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1907.11692) and first released in
[this repository](htt... | [
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0.086484886705... |
cardiffnlp/twitter-roberta-base-irony | cardiffnlp | 2023-08-02T00:36:09Z | 6,796,271 | 14 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"text-classification",
"en",
"dataset:tweet_eval",
"arxiv:2010.12421",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
datasets:
- tweet_eval
language:
- en
---
# Twitter-roBERTa-base for Irony Detection
This is a roBERTa-base model trained on ~58M tweets and finetuned for irony detection with the TweetEval benchmark.
This model has integrated into the [TweetNLP Python library](https://github.com/cardiffnlp/tweetnlp/).
- Paper: ... | [
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0.2143725901842... |
mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis | mrm8488 | 2023-03-16T20:03:13Z | 6,550,039 | 123 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"financial",
"stocks",
"sentiment",
"dataset:financial_phrasebank",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
- financial
- stocks
- sentiment
widget:
- text: "Operating profit totaled EUR 9.4 mn , down from EUR 11.7 mn in 2004 ."
datasets:
- financial_phrasebank
metrics:
- accuracy
model-index:
- name: distilRoberta-financial-sentiment
results:
- task:
name: Tex... | [
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-0.8554448485374451,
-0.154498651... |
lxyuan/distilbert-base-multilingual-cased-sentiments-student | lxyuan | 2023-06-24T04:09:07Z | 6,548,691 | 56 | transformers | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"text-classification",
"sentiment-analysis",
"zero-shot-distillation",
"distillation",
"zero-shot-classification",
"debarta-v3",
"en",
"ar",
"de",
"es",
"fr",
"ja",
"zh",
"id",
"hi",
"it",
"ms",
"pt",
"dataset:tyqian... | text-classification | 2023-05-05T16:22:55Z | ---
license: apache-2.0
tags:
- sentiment-analysis
- text-classification
- zero-shot-distillation
- distillation
- zero-shot-classification
- debarta-v3
model-index:
- name: distilbert-base-multilingual-cased-sentiments-student
results: []
datasets:
- tyqiangz/multilingual-sentiments
language:
- en
- ar
- de
- es
- f... | [
-0.405286967754364,
-0.7423002123832703,
0.23364600539207458,
0.37132173776626587,
-0.20056839287281036,
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-0.30528658628463745,
0.042576953768730164,
0.13890016078948975,
0.13750828802585602,
-0.4759770333766937,
-0.7798067331314087,
-0.7353076338768005,
0.06219965592026... |
SamLowe/roberta-base-go_emotions | SamLowe | 2023-10-04T10:00:58Z | 6,502,514 | 191 | transformers | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"emotions",
"multi-class-classification",
"multi-label-classification",
"en",
"dataset:go_emotions",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-09-15T13:04:21Z | ---
language: en
tags:
- text-classification
- pytorch
- roberta
- emotions
- multi-class-classification
- multi-label-classification
datasets:
- go_emotions
license: mit
widget:
- text: I am not having a great day.
---
#### Overview
Model trained from [roberta-base](https://huggingface.co/roberta-base) on the [go_em... | [
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-0.5224471092224121,
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0.099518783390522,
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0.3838074207305908,
-0.416912317276001,
-0.7787486910820007,
-0.8770251274108887,
-0.02863449603319168... |
marieke93/MiniLM-evidence-types | marieke93 | 2022-06-11T13:32:27Z | 6,416,609 | 5 | transformers | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | 2022-06-07T14:19:25Z | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MiniLM-evidence-types
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... | [
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0.30147993564605713,
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-0.7641069889068604,
-0.7401612997055054,
-0.167790800... |
microsoft/layoutlmv3-base | microsoft | 2023-04-12T12:49:21Z | 6,021,905 | 209 | transformers | [
"transformers",
"pytorch",
"tf",
"onnx",
"layoutlmv3",
"en",
"arxiv:2204.08387",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-04-18T06:53:05Z | ---
language: en
license: cc-by-nc-sa-4.0
---
# LayoutLMv3
[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://aka.ms/layoutlmv3)
## Model description
LayoutLMv3 is a pre-trained multimodal Transformer for Document AI with unified text and image masking. The sim... | [
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-0.37922823429107666,
0.4191456437110901,
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0.22712405025959015,
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-0.19056218862533... |
stabilityai/stable-diffusion-2-1 | stabilityai | 2023-07-05T16:19:17Z | 5,511,350 | 3,346 | diffusers | [
"diffusers",
"stable-diffusion",
"text-to-image",
"arxiv:2112.10752",
"arxiv:2202.00512",
"arxiv:1910.09700",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | 2022-12-06T17:24:51Z | ---
license: openrail++
tags:
- stable-diffusion
- text-to-image
pinned: true
---
# Stable Diffusion v2-1 Model Card
This model card focuses on the model associated with the Stable Diffusion v2-1 model, codebase available [here](https://github.com/Stability-AI/stablediffusion).
This `stable-diffusion-2-1` model is fi... | [
-0.3695681691169739,
-0.8252284526824951,
0.3427104353904724,
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-0.10265906155... |
sentence-transformers/all-MiniLM-L6-v2 | sentence-transformers | 2022-11-07T08:44:33Z | 5,487,445 | 1,150 | sentence-transformers | [
"sentence-transformers",
"pytorch",
"tf",
"rust",
"bert",
"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:sea... | sentence-similarity | 2022-03-02T23:29:05Z | ---
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... | [
-0.3425259590148926,
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0.319079726934433,
0.10410725325345993,
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-0.22713953256607056,
-0.277400940656662,
0.33308425545692444,
0.18307343125343323,
-0.4866493046283722,
-0.525094747543335,
-0.6338952779769897,
0.1216018050909042... |
distilbert-base-multilingual-cased | null | 2023-04-06T13:40:24Z | 5,421,444 | 78 | transformers | [
"transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",... | fill-mask | 2022-03-02T23:29:04Z | ---
language:
- multilingual
- af
- sq
- ar
- an
- hy
- ast
- az
- ba
- eu
- bar
- be
- bn
- inc
- bs
- br
- bg
- my
- ca
- ceb
- ce
- zh
- cv
- hr
- cs
- da
- nl
- en
- et
- fi
- fr
- gl
- ka
- de
- el
- gu
- ht
- he
- hi
- hu
- is
- io
- id
- ga
- it
- ja
- jv
- kn
- kk
- ky
- ko
- la
- lv
- lt
- roa
- nds
- lm
- mk... | [
-0.38927263021469116,
-0.7309663891792297,
0.2625051438808441,
0.2817128300666809,
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0.04243817180395126,
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-0.7449554204940796,
0.03394285216927... |
bert-base-cased | null | 2022-11-16T15:18:28Z | 5,326,802 | 162 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# BERT base model (cased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https:... | [
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-0.801167905330658,
0.1387893110513... |
microsoft/deberta-base | microsoft | 2022-09-26T08:50:43Z | 5,050,985 | 57 | transformers | [
"transformers",
"pytorch",
"tf",
"rust",
"deberta",
"deberta-v1",
"fill-mask",
"en",
"arxiv:2006.03654",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | ---
language: en
tags:
- deberta-v1
- fill-mask
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves the BERT and RoBERTa models using disentangled attention and enhanced m... | [
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0.0671712085604667... |
cardiffnlp/twitter-roberta-base-sentiment | cardiffnlp | 2023-01-20T09:52:13Z | 4,806,206 | 225 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"text-classification",
"en",
"dataset:tweet_eval",
"arxiv:2010.12421",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
datasets:
- tweet_eval
language:
- en
---
# Twitter-roBERTa-base for Sentiment Analysis
This is a roBERTa-base model trained on ~58M tweets and finetuned for sentiment analysis with the TweetEval benchmark. This model is suitable for English (for a similar multilingual model, see [XLM-T](https://huggingface.co/car... | [
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-0.6859224438667297,
0.0890733525156... |
jonatasgrosman/wav2vec2-large-xlsr-53-portuguese | jonatasgrosman | 2022-12-14T01:59:47Z | 4,751,160 | 18 | transformers | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"pt",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"lice... | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: pt
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
- pt
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... | [
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-0.6374335885047913,
0.13567115366458893,
0.2450847178697586,
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pyannote/segmentation | pyannote | 2023-10-04T18:52:36Z | 4,256,827 | 328 | pyannote-audio | [
"pyannote-audio",
"pytorch",
"pyannote",
"pyannote-audio-model",
"audio",
"voice",
"speech",
"speaker",
"speaker-segmentation",
"voice-activity-detection",
"overlapped-speech-detection",
"resegmentation",
"arxiv:2104.04045",
"license:mit",
"has_space",
"region:us"
] | voice-activity-detection | 2022-03-02T23:29:05Z | ---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-model
- audio
- voice
- speech
- speaker
- speaker-segmentation
- voice-activity-detection
- overlapped-speech-detection
- resegmentation
license: mit
inference: false
extra_gated_prompt: "The collected information will help acquire a better knowledge of pyannote.a... | [
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bert-base-multilingual-cased | null | 2022-11-16T23:22:54Z | 4,090,354 | 251 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
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"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl"... | fill-mask | 2022-03-02T23:29:04Z | ---
language:
- multilingual
- af
- sq
- ar
- an
- hy
- ast
- az
- ba
- eu
- bar
- be
- bn
- inc
- bs
- br
- bg
- my
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- ceb
- ce
- zh
- cv
- hr
- cs
- da
- nl
- en
- et
- fi
- fr
- gl
- ka
- de
- el
- gu
- ht
- he
- hi
- hu
- is
- io
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- mk... | [
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trpakov/vit-face-expression | trpakov | 2022-11-09T12:56:19Z | 4,056,771 | 4 | transformers | [
"transformers",
"pytorch",
"vit",
"image-classification",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | 2022-11-09T12:50:30Z | Entry not found | [
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pyannote/speaker-diarization | pyannote | 2023-10-04T18:53:17Z | 3,790,498 | 553 | pyannote-audio | [
"pyannote-audio",
"pyannote",
"pyannote-audio-pipeline",
"audio",
"voice",
"speech",
"speaker",
"speaker-diarization",
"speaker-change-detection",
"voice-activity-detection",
"overlapped-speech-detection",
"automatic-speech-recognition",
"dataset:ami",
"dataset:dihard",
"dataset:voxconve... | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-pipeline
- audio
- voice
- speech
- speaker
- speaker-diarization
- speaker-change-detection
- voice-activity-detection
- overlapped-speech-detection
- automatic-speech-recognition
datasets:
- ami
- dihard
- voxconverse
- aishell
- repere
- voxceleb
license: mit
e... | [
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pyannote/segmentation-3.0 | pyannote | 2023-10-04T18:53:59Z | 3,600,431 | 34 | pyannote-audio | [
"pyannote-audio",
"pytorch",
"pyannote",
"pyannote-audio-model",
"audio",
"voice",
"speech",
"speaker",
"speaker-diarization",
"speaker-change-detection",
"speaker-segmentation",
"voice-activity-detection",
"overlapped-speech-detection",
"resegmentation",
"license:mit",
"has_space",
... | voice-activity-detection | 2023-09-22T12:03:10Z | ---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-model
- audio
- voice
- speech
- speaker
- speaker-diarization
- speaker-change-detection
- speaker-segmentation
- voice-activity-detection
- overlapped-speech-detection
- resegmentation
license: mit
inference: false
extra_gated_prompt: "The collected information w... | [
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pyannote/speaker-diarization-3.0 | pyannote | 2023-10-04T18:54:33Z | 3,399,557 | 118 | pyannote-audio | [
"pyannote-audio",
"pyannote",
"pyannote-audio-pipeline",
"audio",
"voice",
"speech",
"speaker",
"speaker-diarization",
"speaker-change-detection",
"voice-activity-detection",
"overlapped-speech-detection",
"automatic-speech-recognition",
"arxiv:2111.14448",
"arxiv:2012.01477",
"license:m... | automatic-speech-recognition | 2023-09-22T13:40:36Z | ---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-pipeline
- audio
- voice
- speech
- speaker
- speaker-diarization
- speaker-change-detection
- voice-activity-detection
- overlapped-speech-detection
- automatic-speech-recognition
license: mit
extra_gated_prompt: "The collected information will help acquire a bet... | [
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camembert-base | null | 2023-05-30T14:36:19Z | 3,380,891 | 45 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"camembert",
"fill-mask",
"fr",
"dataset:oscar",
"arxiv:1911.03894",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: fr
license: mit
datasets:
- oscar
---
# CamemBERT: a Tasty French Language Model
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Citation Information](#citation-... | [
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google/electra-base-discriminator | google | 2021-04-30T07:33:10Z | 3,343,622 | 38 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"electra",
"pretraining",
"en",
"arxiv:1406.2661",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05Z | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/google.png
license: apache-2.0
---
## ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
**ELECTRA** is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks usi... | [
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0.4077769517898... |
allenai/longformer-base-4096 | allenai | 2023-04-05T18:24:00Z | 3,326,607 | 113 | transformers | [
"transformers",
"pytorch",
"tf",
"rust",
"longformer",
"en",
"arxiv:2004.05150",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05Z | ---
language: en
license: apache-2.0
---
# longformer-base-4096
[Longformer](https://arxiv.org/abs/2004.05150) is a transformer model for long documents.
`longformer-base-4096` is a BERT-like model started from the RoBERTa checkpoint and pretrained for MLM on long documents. It supports sequences of length up to 4,0... | [
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distilroberta-base | null | 2022-11-16T23:22:40Z | 3,272,076 | 88 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"roberta",
"fill-mask",
"exbert",
"en",
"dataset:openwebtext",
"arxiv:1910.01108",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- openwebtext
---
# Model Card for DistilRoBERTa base
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
4. [Training Details](#training-details)
5. [Evaluation](#evaluat... | [
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facebook/mbart-large-50 | facebook | 2023-03-28T08:28:50Z | 3,260,064 | 93 | transformers | [
"transformers",
"pytorch",
"tf",
"mbart",
"text2text-generation",
"mbart-50",
"multilingual",
"ar",
"cs",
"de",
"en",
"es",
"et",
"fi",
"fr",
"gu",
"hi",
"it",
"ja",
"kk",
"ko",
"lt",
"lv",
"my",
"ne",
"nl",
"ro",
"ru",
"si",
"tr",
"vi",
"zh",
"af",
... | text2text-generation | 2022-03-02T23:29:05Z | ---
language:
- multilingual
- ar
- cs
- de
- en
- es
- et
- fi
- fr
- gu
- hi
- it
- ja
- kk
- ko
- lt
- lv
- my
- ne
- nl
- ro
- ru
- si
- tr
- vi
- zh
- af
- az
- bn
- fa
- he
- hr
- id
- ka
- km
- mk
- ml
- mn
- mr
- pl
- ps
- pt
- sv
- sw
- ta
- te
- th
- tl
- uk
- ur
- xh
- gl
- sl
license: mit
tags:
- mbart-50... | [
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albert-base-v2 | null | 2023-05-30T07:52:10Z | 3,217,580 | 73 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT Base v2
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-rese... | [
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timm/resnet50.a1_in1k | timm | 2023-04-05T18:08:16Z | 3,143,968 | 9 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1512.03385",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | 2023-04-05T18:07:45Z | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet50.a1_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` usin... | [
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stabilityai/StableBeluga-7B | stabilityai | 2023-08-29T20:21:36Z | 3,092,291 | 124 | transformers | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:conceptofmind/cot_submix_original",
"dataset:conceptofmind/flan2021_submix_original",
"dataset:conceptofmind/t0_submix_original",
"dataset:conceptofmind/niv2_submix_original",
"arxiv:2307.09288",
"arxiv:2306.02707",
"end... | text-generation | 2023-07-27T02:01:15Z | ---
datasets:
- conceptofmind/cot_submix_original
- conceptofmind/flan2021_submix_original
- conceptofmind/t0_submix_original
- conceptofmind/niv2_submix_original
language:
- en
pipeline_tag: text-generation
---
# Stable Beluga 7B
Use [Stable Chat (Research Preview)](https://chat.stability.ai/chat) to test Stability A... | [
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facebook/bart-large-mnli | facebook | 2023-09-05T14:49:34Z | 2,900,740 | 754 | transformers | [
"transformers",
"pytorch",
"jax",
"rust",
"safetensors",
"bart",
"text-classification",
"zero-shot-classification",
"dataset:multi_nli",
"arxiv:1910.13461",
"arxiv:1909.00161",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | 2022-03-02T23:29:05Z | ---
license: mit
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
pipeline_tag: zero-shot-classification
datasets:
- multi_nli
---
# bart-large-mnli
This is the checkpoint for [bart-large](https://huggingface.co/facebook/bart-large) after being trained on the [MultiNLI (MNLI)](https://huggingface.co/da... | [
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0.1817155927... |
nateraw/vit-age-classifier | nateraw | 2023-09-19T15:53:10Z | 2,820,991 | 62 | transformers | [
"transformers",
"pytorch",
"vit",
"image-classification",
"dataset:fairface",
"doi:10.57967/hf/1259",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | ---
tags:
- image-classification
- pytorch
datasets:
- fairface
---
A vision transformer finetuned to classify the age of a given person's face.
```python
import requests
from PIL import Image
from io import BytesIO
from transformers import ViTFeatureExtractor, ViTForImageClassification
# Get example image fr... | [
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t5-small | null | 2023-06-30T02:31:26Z | 2,629,831 | 174 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"onnx",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:... | translation | 2022-03-02T23:29:04Z | ---
language:
- en
- fr
- ro
- de
- multilingual
license: apache-2.0
tags:
- summarization
- translation
datasets:
- c4
---
# Model Card for T5 Small
![model image](https://camo.githubusercontent.com/623b4dea0b653f2ad3f36c71ebfe749a677ac0a1/68747470733a2f2f6d69726f2e6d656469756d2e636f6d2f6d61782f343030362f312a44304a... | [
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-0.5589577555656433,
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0.39851292967796326,
-0.5073764324188232,
-0.5743420720100403,
-0.7816708087921143,
0.33911019563... |
prajjwal1/bert-small | prajjwal1 | 2021-10-27T18:31:52Z | 2,592,387 | 13 | transformers | [
"transformers",
"pytorch",
"BERT",
"MNLI",
"NLI",
"transformer",
"pre-training",
"en",
"arxiv:1908.08962",
"arxiv:2110.01518",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | ---
language:
- en
license:
- mit
tags:
- BERT
- MNLI
- NLI
- transformer
- pre-training
---
The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the [official Google BERT repository](https://github.com/google-research/bert).
This is one of the smaller ... | [
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openai/clip-vit-base-patch16 | openai | 2022-10-04T09:42:28Z | 2,581,161 | 46 | transformers | [
"transformers",
"pytorch",
"jax",
"clip",
"zero-shot-image-classification",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-image-classification | 2022-03-02T23:29:05Z | ---
tags:
- vision
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
---
# Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found [h... | [
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Intel/dpt-large | Intel | 2023-11-13T16:32:34Z | 2,375,031 | 115 | transformers | [
"transformers",
"pytorch",
"dpt",
"depth-estimation",
"vision",
"arxiv:2103.13413",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | depth-estimation | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- vision
- depth-estimation
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://huggingface.co/datasets/m... | [
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nlpconnect/vit-gpt2-image-captioning | nlpconnect | 2023-02-27T15:00:09Z | 2,338,112 | 608 | transformers | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-to-text",
"image-captioning",
"doi:10.57967/hf/0222",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | image-to-text | 2022-03-02T23:29:05Z | ---
tags:
- image-to-text
- image-captioning
license: apache-2.0
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:... | [
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bert-base-chinese | null | 2023-03-21T17:15:55Z | 2,265,659 | 630 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:04Z | ---
language: zh
---
# Bert-base-chinese
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
## Model Deta... | [
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cmarkea/distilcamembert-base-ner | cmarkea | 2023-08-01T10:05:12Z | 2,168,725 | 16 | transformers | [
"transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"camembert",
"token-classification",
"fr",
"dataset:Jean-Baptiste/wikiner_fr",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
language: fr
license: mit
datasets:
- Jean-Baptiste/wikiner_fr
widget:
- text: "Boulanger, habitant à Boulanger et travaillant dans le magasin Boulanger situé dans la ville de Boulanger. Boulanger a écrit le livre éponyme Boulanger édité par la maison d'édition Boulanger."
- text: "Quentin Jerome Tarantino naît le ... | [
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0.2517969608306885,... |
t5-base | null | 2023-04-06T13:42:36Z | 2,122,157 | 381 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxiv:1810.1... | translation | 2022-03-02T23:29:04Z | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
---
# Model Card for T5 Base
![model image](https://camo.githubusercontent.com/623b4dea0b653f2ad3f36c71ebfe749a677ac0a1/68747470733a2f2f6d69726f2e6d656469756d2e636f6d2f6d61782f343030362f312a44304a31674e516638767... | [
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0.31784331798553... |
xlm-roberta-large | null | 2023-09-29T13:04:24Z | 2,117,939 | 224 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"xlm-roberta",
"fill-mask",
"exbert",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi... | fill-mask | 2022-03-02T23:29:04Z | ---
tags:
- exbert
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
-... | [
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0.21836577355861664... |
dbmdz/bert-large-cased-finetuned-conll03-english | dbmdz | 2023-09-06T22:17:56Z | 2,042,802 | 39 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"token-classification",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | Entry not found | [
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... |
paust/pko-t5-large | paust | 2023-06-28T17:03:42Z | 2,031,166 | 14 | transformers | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"ko",
"arxiv:2105.09680",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | 2022-05-16T11:59:52Z | ---
language: ko
license: cc-by-4.0
---
# pko-t5-large
[Source Code](https://github.com/paust-team/pko-t5)
pko-t5 는 한국어 전용 데이터로 학습한 [t5 v1.1 모델](https://github.com/google-research/text-to-text-transfer-transformer/blob/84f8bcc14b5f2c03de51bd3587609ba8f6bbd1cd/released_checkpoints.md)입니다.
한국어를 tokenize 하기 위해서 senten... | [
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0.... |
CompVis/stable-diffusion-safety-checker | CompVis | 2022-11-25T17:21:38Z | 2,017,585 | 80 | transformers | [
"transformers",
"pytorch",
"clip",
"arxiv:2103.00020",
"arxiv:1910.09700",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-08-22T10:22:34Z | ---
tags:
- clip
---
# Model Card for stable-diffusion-safety-checker
# Model Details
## Model Description
More information needed
- **Developed by:** More information needed
- **Shared by [Optional]:** CompVis
- **Model type:** Image Identification
- **Language(s) (NLP):** More information needed
- **License... | [
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timm/resnet18.a1_in1k | timm | 2023-04-05T18:03:00Z | 1,995,085 | 4 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | 2023-04-05T18:02:50Z | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet18.a1_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` usin... | [
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0.00273046689108... |
nlptown/bert-base-multilingual-uncased-sentiment | nlptown | 2023-07-27T18:14:29Z | 1,963,455 | 208 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"en",
"nl",
"de",
"fr",
"it",
"es",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
language:
- en
- nl
- de
- fr
- it
- es
license: mit
---
# bert-base-multilingual-uncased-sentiment
This is a bert-base-multilingual-uncased model finetuned for sentiment analysis on product reviews in six languages: English, Dutch, German, French, Spanish, and Italian. It predicts the sentiment of the review as... | [
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facebook/contriever | facebook | 2022-01-19T17:23:28Z | 1,930,363 | 33 | transformers | [
"transformers",
"pytorch",
"bert",
"arxiv:2112.09118",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05Z | This model has been trained without supervision following the approach described in [Towards Unsupervised Dense Information Retrieval with Contrastive Learning](https://arxiv.org/abs/2112.09118). The associated GitHub repository is available here https://github.com/facebookresearch/contriever.
## Usage (HuggingFace Tr... | [
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YituTech/conv-bert-base | YituTech | 2021-02-24T11:26:14Z | 1,875,685 | 5 | transformers | [
"transformers",
"pytorch",
"tf",
"convbert",
"feature-extraction",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | 2022-03-02T23:29:05Z | Entry not found | [
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-0.9104480743408203,
0.5715669393539429,
... |
google/fnet-base | google | 2021-10-31T07:33:21Z | 1,855,293 | 13 | transformers | [
"transformers",
"pytorch",
"rust",
"fnet",
"pretraining",
"en",
"dataset:c4",
"arxiv:2105.03824",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | ---
language: en
tags:
- fnet
license: apache-2.0
datasets:
- c4
---
# FNet base model
Pretrained model on English language using a masked language modeling (MLM) and next sentence prediction (NSP) objective. It was
introduced in [this paper](https://arxiv.org/abs/2105.03824) and first released in [this repository](... | [
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openai/clip-vit-large-patch14-336 | openai | 2022-10-04T09:41:39Z | 1,841,237 | 66 | transformers | [
"transformers",
"pytorch",
"tf",
"clip",
"zero-shot-image-classification",
"generated_from_keras_callback",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-image-classification | 2022-04-22T14:57:43Z | ---
tags:
- generated_from_keras_callback
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
model-index:
- name: clip-vit-large-patch14-336
results: []
---
<!-- This model card has been gener... | [
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google/vit-base-patch16-224 | google | 2023-09-05T15:27:12Z | 1,828,301 | 384 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"vit",
"image-classification",
"vision",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | 2022-03-02T23:29:05Z | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
- 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: Teap... | [
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-0.7233230471611023,
-0.0668680444359... |
nvidia/speakerverification_en_titanet_large | nvidia | 2023-11-14T16:58:18Z | 1,790,918 | 37 | nemo | [
"nemo",
"speaker",
"speech",
"audio",
"speaker-verification",
"speaker-recognition",
"speaker-diarization",
"titanet",
"NeMo",
"pytorch",
"en",
"dataset:VOXCELEB-1",
"dataset:VOXCELEB-2",
"dataset:FISHER",
"dataset:switchboard",
"dataset:librispeech_asr",
"dataset:SRE",
"license:cc... | null | 2022-07-15T00:26:00Z | ---
language:
- en
library_name: nemo
datasets:
- VOXCELEB-1
- VOXCELEB-2
- FISHER
- switchboard
- librispeech_asr
- SRE
thumbnail: null
tags:
- speaker
- speech
- audio
- speaker-verification
- speaker-recognition
- speaker-diarization
- titanet
- NeMo
- pytorch
license: cc-by-4.0
widget:
- src: https://huggingface.co... | [
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ckiplab/bert-base-chinese-ner | ckiplab | 2022-05-10T03:28:12Z | 1,774,062 | 61 | transformers | [
"transformers",
"pytorch",
"jax",
"bert",
"token-classification",
"zh",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
language:
- zh
thumbnail: https://ckip.iis.sinica.edu.tw/files/ckip_logo.png
tags:
- pytorch
- token-classification
- bert
- zh
license: gpl-3.0
---
# CKIP BERT Base Chinese
This project provides traditional Chinese transformers models (including ALBERT, BERT, GPT2) and NLP tools (including word segment... | [
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0.02518985979... |
facebook/esm2_t12_35M_UR50D | facebook | 2023-03-21T15:04:57Z | 1,763,510 | 4 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"esm",
"fill-mask",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-09-27T14:30:05Z | ---
license: mit
widget:
- text: "MQIFVKTLTGKTITLEVEPS<mask>TIENVKAKIQDKEGIPPDQQRLIFAGKQLEDGRTLSDYNIQKESTLHLVLRLRGG"
---
## ESM-2
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input. F... | [
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-0.9321447610855103,
0.082856029272079... |
vinai/bertweet-base | vinai | 2022-10-22T08:52:39Z | 1,763,160 | 21 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | # <a name="introduction"></a> BERTweet: A pre-trained language model for English Tweets
BERTweet is the first public large-scale language model pre-trained for English Tweets. BERTweet is trained based on the [RoBERTa](https://github.com/pytorch/fairseq/blob/master/examples/roberta/README.md) pre-training procedure.... | [
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-0.6429836750030518,
-0.6499027609825134,
-0.199736759066581... |
ProsusAI/finbert | ProsusAI | 2023-05-23T12:43:35Z | 1,720,184 | 391 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"financial-sentiment-analysis",
"sentiment-analysis",
"en",
"arxiv:1908.10063",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-02T23:29:04Z | ---
language: "en"
tags:
- financial-sentiment-analysis
- sentiment-analysis
widget:
- text: "Stocks rallied and the British pound gained."
---
FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financi... | [
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... |
cardiffnlp/twitter-roberta-base-sentiment-latest | cardiffnlp | 2023-05-28T05:45:10Z | 1,632,960 | 268 | transformers | [
"transformers",
"pytorch",
"tf",
"roberta",
"text-classification",
"en",
"dataset:tweet_eval",
"arxiv:2202.03829",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-15T01:21:58Z | ---
language: en
widget:
- text: Covid cases are increasing fast!
datasets:
- tweet_eval
---
# Twitter-roBERTa-base for Sentiment Analysis - UPDATED (2022)
This is a RoBERTa-base model trained on ~124M tweets from January 2018 to December 2021, and finetuned for sentiment analysis with the TweetEval benchmark.
The ... | [
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0.0473787114024162... |
Kyle1668/boss-sentiment-t5-large | Kyle1668 | 2023-08-09T17:50:47Z | 1,613,295 | 0 | transformers | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | 2023-08-08T16:33:42Z | Entry not found | [
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0.5715669393539429,
... |
indobenchmark/indobert-base-p1 | indobenchmark | 2021-05-19T20:22:23Z | 1,483,227 | 10 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"indobert",
"indobenchmark",
"indonlu",
"id",
"dataset:Indo4B",
"arxiv:2009.05387",
"license:mit",
"has_space",
"region:us"
] | feature-extraction | 2022-03-02T23:29:05Z | ---
language: id
tags:
- indobert
- indobenchmark
- indonlu
license: mit
inference: false
datasets:
- Indo4B
---
# IndoBERT Base Model (phase1 - 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 ma... | [
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0.335668534040451... |
davidkim205/komt-mistral-7b-v1 | davidkim205 | 2023-10-24T04:41:07Z | 1,450,870 | 5 | transformers | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"finetuned",
"en",
"ko",
"arxiv:2308.06502",
"arxiv:2308.06259",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | 2023-10-24T01:58:52Z | ---
language:
- en
- ko
pipeline_tag: text-generation
tags:
- finetuned
---
# komt : korean multi task instruction tuning model
Recently, due to the success of ChatGPT, numerous large languag... | [
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... |
rsvp-ai/bertserini-bert-base-squad | rsvp-ai | 2022-06-23T14:13:40Z | 1,427,127 | 5 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"question-answering",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | 2022-03-02T23:29:05Z | Entry not found | [
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0.5715669393539429,
... |
timm/efficientnet_b0.ra_in1k | timm | 2023-04-27T21:09:50Z | 1,421,528 | 2 | timm | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | 2022-12-12T23:52:52Z | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b0.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired by... | [
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alexandrainst/scandi-nli-large | alexandrainst | 2023-09-20T11:55:47Z | 1,355,403 | 5 | transformers | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"zero-shot-classification",
"da",
"no",
"nb",
"sv",
"dataset:strombergnlp/danfever",
"dataset:KBLab/overlim",
"dataset:MoritzLaurer/multilingual-NLI-26lang-2mil7",
"license:apache-2.0",
"endpoints_compatible",
"ha... | zero-shot-classification | 2022-11-28T07:05:27Z | ---
pipeline_tag: zero-shot-classification
language:
- da
- 'no'
- nb
- sv
license: apache-2.0
datasets:
- strombergnlp/danfever
- KBLab/overlim
- MoritzLaurer/multilingual-NLI-26lang-2mil7
widget:
- example_title: Danish
text: >-
Mexicansk bokser advarer Messi - 'Du skal bede til gud, om at jeg ikke
finder d... | [
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0.008774171583354473,
-0.6788859367370605,
-0.8692259192466736,
-0.5754921436309814,
0.27649191021919... |
Kyle1668/boss-toxicity-t5-large | Kyle1668 | 2023-09-23T00:03:08Z | 1,286,682 | 1 | transformers | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | 2023-08-08T16:40:42Z | Entry not found | [
-0.3227650225162506,
-0.22568431496620178,
0.862226128578186,
0.43461495637893677,
-0.5282987952232361,
0.7012965679168701,
0.7915717363357544,
0.07618638128042221,
0.7746025919914246,
0.2563219666481018,
-0.7852817177772522,
-0.22573819756507874,
-0.9104480743408203,
0.5715669393539429,
... |
microsoft/table-transformer-detection | microsoft | 2023-09-06T14:49:09Z | 1,278,488 | 98 | transformers | [
"transformers",
"pytorch",
"safetensors",
"table-transformer",
"object-detection",
"arxiv:2110.00061",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | object-detection | 2022-10-14T09:14:13Z | ---
license: mit
widget:
- src: https://www.invoicesimple.com/wp-content/uploads/2018/06/Sample-Invoice-printable.png
example_title: Invoice
---
# Table Transformer (fine-tuned for Table Detection)
Table Transformer (DETR) model trained on PubTables1M. It was introduced in the paper [PubTables-1M: Towards Comprehe... | [
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0.1560775935649871... |
distilbert-base-uncased-distilled-squad | null | 2023-04-06T13:40:56Z | 1,269,799 | 73 | transformers | [
"transformers",
"pytorch",
"tf",
"tflite",
"coreml",
"safetensors",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | 2022-03-02T23:29:04Z | ---
language: en
datasets:
- squad
widget:
- text: "Which name is also used to describe the Amazon rainforest in English?"
context: "The Amazon rainforest (Portuguese: Floresta Amazônica or Amazônia; Spanish: Selva Amazónica, Amazonía or usually Amazonia; French: Forêt amazonienne; Dutch: Amazoneregenwoud), also know... | [
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0.1122565716... |
shibing624/text2vec-base-chinese | shibing624 | 2023-08-28T08:58:03Z | 1,250,320 | 494 | transformers | [
"transformers",
"pytorch",
"onnx",
"bert",
"feature-extraction",
"text2vec",
"sentence-similarity",
"zh",
"dataset:shibing624/nli_zh",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | 2022-03-02T23:29:05Z | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- text2vec
- feature-extraction
- sentence-similarity
- transformers
datasets:
- shibing624/nli_zh
language:
- zh
metrics:
- spearmanr
library_name: transformers
---
# shibing624/text2vec-base-chinese
This is a CoSENT(Cosine Sentence) model: shibing624/tex... | [
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0.1114528924226... |
bigscience/bloom-560m | bigscience | 2023-09-26T09:16:49Z | 1,241,498 | 285 | transformers | [
"transformers",
"pytorch",
"jax",
"onnx",
"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",... | text-generation | 2022-05-19T11:51:24Z | ---
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... | [
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0.0470875389873981... |
csebuetnlp/banglabert | csebuetnlp | 2022-12-23T18:49:36Z | 1,207,089 | 12 | transformers | [
"transformers",
"pytorch",
"electra",
"pretraining",
"bn",
"endpoints_compatible",
"region:us"
] | null | 2022-03-02T23:29:05Z | ---
language:
- bn
licenses:
- cc-by-nc-sa-4.0
---
# BanglaBERT
This repository contains the pretrained discriminator checkpoint of the model **BanglaBERT**. This is an [ELECTRA](https://openreview.net/pdf?id=r1xMH1BtvB) discriminator model pretrained with the Replaced Token Detection (RTD) objective. Finetuned mode... | [
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laion/CLIP-ViT-B-32-laion2B-s34B-b79K | laion | 2023-04-18T06:49:43Z | 1,204,033 | 49 | open_clip | [
"open_clip",
"pytorch",
"clip",
"zero-shot-image-classification",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | 2022-09-14T22:49:28Z | ---
license: mit
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
pipeline_tag: zero-shot-image-classification
---
# Model Card for CLIP ViT-B/32 - LAION-2B
# Table of Contents
1. [Mo... | [
-0.2775880992412567,
-0.5689245462417603,
0.17562779784202576,
0.06699049472808838,
-0.3972177505493164,
-0.4110003411769867,
-0.16550928354263306,
-0.6360536217689514,
0.023332374170422554,
0.41557443141937256,
-0.4149303734302521,
-0.567352831363678,
-0.5902985334396362,
-0.1487317234277... |
jonatasgrosman/wav2vec2-large-xlsr-53-russian | jonatasgrosman | 2022-12-14T01:58:43Z | 1,184,530 | 33 | transformers | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"robust-speech-event",
"ru",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"lice... | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: ru
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
- robust-speech-event
- ru
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... | [
-0.49102237820625305,
-0.5980230569839478,
0.20731595158576965,
0.1410287618637085,
-0.3018975555896759,
-0.11786732822656631,
-0.24717485904693604,
-0.4116494953632355,
0.30818966031074524,
0.15552197396755219,
-0.5913642048835754,
-0.541431725025177,
-0.4035887122154236,
-0.1142936795949... |
laion/CLIP-ViT-H-14-laion2B-s32B-b79K | laion | 2023-04-18T17:45:56Z | 1,182,059 | 193 | open_clip | [
"open_clip",
"pytorch",
"clip",
"zero-shot-image-classification",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | 2022-09-14T22:52:28Z | ---
license: mit
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
library_name: open_clip
pipeline_tag: zero-shot-image-classification
---
# Model Card for CLIP ViT-H/14 - LAION-2B
# T... | [
-0.2912047803401947,
-0.5678616166114807,
0.20812733471393585,
0.02528180554509163,
-0.3768022656440735,
-0.43453097343444824,
-0.19491781294345856,
-0.6510435938835144,
-0.007727808319032192,
0.43786609172821045,
-0.4258979856967926,
-0.5864419937133789,
-0.5891714096069336,
-0.0757661759... |
martin-ha/toxic-comment-model | martin-ha | 2022-05-06T02:24:31Z | 1,172,236 | 32 | transformers | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
language: en
---
## Model description
This model is a fine-tuned version of the [DistilBERT model](https://huggingface.co/transformers/model_doc/distilbert.html) to classify toxic comments.
## How to use
You can use the model with the following code.
```python
from transformers import AutoModelForSequenceClass... | [
-0.3922950327396393,
-0.4740905165672302,
0.18749642372131348,
0.1335316151380539,
-0.15836480259895325,
-0.10166865587234497,
0.03602038696408272,
-0.40231478214263916,
0.01824433170258999,
0.23490272462368011,
-0.5330604910850525,
-0.7474910020828247,
-0.9154424667358398,
0.1708005219697... |
tiiuae/falcon-40b-instruct | tiiuae | 2023-09-29T14:32:27Z | 1,158,762 | 1,120 | transformers | [
"transformers",
"pytorch",
"falcon",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2205.14135",
"arxiv:1911.02150",
"arxiv:2005.14165",
"arxiv:2104.09864",
"arxiv:2306.01116",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generati... | text-generation | 2023-05-25T10:14:36Z | ---
datasets:
- tiiuae/falcon-refinedweb
language:
- en
inference: false
license: apache-2.0
---
# ✨ Falcon-40B-Instruct
**Falcon-40B-Instruct is a 40B parameters causal decoder-only model built by [TII](https://www.tii.ae) based on [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) and finetuned on a mixture of ... | [
-0.5245065689086914,
-0.9391388893127441,
0.10132857412099838,
0.37688905000686646,
-0.0656701847910881,
-0.07384902983903885,
-0.19400599598884583,
-0.521453320980072,
0.1596158891916275,
0.3435472548007965,
-0.5734294056892395,
-0.44747111201286316,
-0.668843686580658,
-0.046887185424566... |
cardiffnlp/twitter-xlm-roberta-base-sentiment | cardiffnlp | 2023-07-19T20:41:38Z | 1,128,530 | 152 | transformers | [
"transformers",
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"multilingual",
"arxiv:2104.12250",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | 2022-03-02T23:29:05Z | ---
language: multilingual
widget:
- text: "🤗"
- text: "T'estimo! ❤️"
- text: "I love you!"
- text: "I hate you 🤮"
- text: "Mahal kita!"
- text: "사랑해!"
- text: "난 너가 싫어"
- text: "😍😍😍"
---
# twitter-XLM-roBERTa-base for Sentiment Analysis
This is a multilingual XLM-roBERTa-base model trained on ~198M tweets and ... | [
-0.21140699088573456,
-0.6133162379264832,
0.19658339023590088,
0.40007078647613525,
-0.20551961660385132,
0.25525936484336853,
-0.427446573972702,
-0.2090844064950943,
0.23859182000160217,
0.13396018743515015,
-0.5945858359336853,
-0.9647396802902222,
-0.721899688243866,
0.167344674468040... |
microsoft/layoutlmv2-base-uncased | microsoft | 2022-09-16T03:40:56Z | 1,115,792 | 39 | transformers | [
"transformers",
"pytorch",
"layoutlmv2",
"en",
"arxiv:2012.14740",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:05Z | ---
language: en
license: cc-by-nc-sa-4.0
---
# LayoutLMv2
**Multimodal (text + layout/format + image) pre-training for document AI**
The documentation of this model in the Transformers library can be found [here](https://huggingface.co/docs/transformers/model_doc/layoutlmv2).
[Microsoft Document AI](https://www.mi... | [
-0.24813884496688843,
-0.5359470844268799,
0.5049474835395813,
0.2781062722206116,
-0.1691926121711731,
0.019840208813548088,
0.13748787343502045,
-0.2951689064502716,
-0.18741048872470856,
0.3231786787509918,
-0.770416796207428,
-0.47540482878685,
-0.6762189269065857,
-0.26158127188682556... |
CIDAS/clipseg-rd64-refined | CIDAS | 2023-01-04T11:56:08Z | 1,115,254 | 64 | transformers | [
"transformers",
"pytorch",
"clipseg",
"vision",
"image-segmentation",
"arxiv:2112.10003",
"license:apache-2.0",
"has_space",
"region:us"
] | image-segmentation | 2022-11-01T14:25:57Z | ---
license: apache-2.0
tags:
- vision
- image-segmentation
inference: false
---
# CLIPSeg model
CLIPSeg model with reduce dimension 64, refined (using a more complex convolution). It was introduced in the paper [Image Segmentation Using Text and Image Prompts](https://arxiv.org/abs/2112.10003) by Lüddecke et al. an... | [
-0.8298375606536865,
-0.5458164215087891,
0.6076344847679138,
0.10645419359207153,
-0.5790215730667114,
-0.39590778946876526,
0.25823232531547546,
-0.3526495099067688,
0.025415541604161263,
0.38337811827659607,
-0.9556897878646851,
-0.623732328414917,
-0.7718104720115662,
0.014494373463094... |
facebook/wav2vec2-base-960h | facebook | 2022-11-14T21:37:23Z | 1,103,109 | 175 | transformers | [
"transformers",
"pytorch",
"tf",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | 2022-03-02T23:29:05Z | ---
language: en
datasets:
- librispeech_asr
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
license: apache-2.0
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.huggingface.... | [
-0.198020800948143,
-0.6546816229820251,
0.16972270607948303,
0.16908106207847595,
-0.17613594233989716,
-0.15908141434192657,
-0.4845995604991913,
-0.5395611524581909,
-0.05200781673192978,
0.15351442992687225,
-0.6113046407699585,
-0.5992768406867981,
-0.5833753347396851,
-0.409840762615... |
google/mt5-base | google | 2023-01-24T16:37:25Z | 1,068,223 | 115 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"mt5",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",... | text2text-generation | 2022-03-02T23:29:05Z | ---
language:
- multilingual
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fil
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- hi
- hmn
- ht
- hu
- hy
- ig
- is
- it
- iw
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lb
- lo
- lt
- lv
- mg
- mi
- mk
-... | [
-0.5287659168243408,
-0.17020736634731293,
0.29125913977622986,
0.411001056432724,
-0.2939440906047821,
0.36009055376052856,
-0.38297703862190247,
-0.4471434950828552,
0.17177559435367584,
0.3612290918827057,
-0.7018294930458069,
-0.8553211092948914,
-0.9299465417861938,
0.7416996955871582... |
neuralmind/bert-base-portuguese-cased | neuralmind | 2022-06-14T14:37:09Z | 997,572 | 102 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"pt",
"dataset:brWaC",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | 2022-03-02T23:29:05Z | ---
language: pt
license: mit
tags:
- bert
- pytorch
datasets:
- brWaC
---
# BERTimbau Base (aka "bert-base-portuguese-cased")
## Introduction
BERTimbau Base is a pretrained BERT model for Brazilian Portuguese that achieves state-of-the-art performance... | [
-0.18304821848869324,
-0.4717995524406433,
0.10968445241451263,
0.5005441308021545,
-0.513286828994751,
-0.008465152233839035,
-0.16737939417362213,
0.012110767886042595,
0.5818616151809692,
0.3750711977481842,
-0.4980522394180298,
-0.6814043521881104,
-0.7359874844551086,
-0.0541285052895... |
facebook/bart-base | facebook | 2022-11-16T23:23:10Z | 992,862 | 113 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bart",
"feature-extraction",
"en",
"arxiv:1910.13461",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | 2022-03-02T23:29:05Z | ---
license: apache-2.0
language: en
---
# BART (base-sized model)
BART model pre-trained on English language. It was introduced in the paper [BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://arxiv.org/abs/1910.13461) by Lewis et al. and first... | [
-0.5895666480064392,
-1.041480541229248,
0.16506583988666534,
0.2032175362110138,
-0.3447984755039215,
-0.006318152416497469,
-0.23662404716014862,
-0.3935691714286804,
0.3891613483428955,
0.42154982686042786,
-0.5027112364768982,
-0.3990526497364044,
-0.49174830317497253,
0.33777844905853... |
deepset/roberta-base-squad2 | deepset | 2023-09-26T11:36:30Z | 977,030 | 498 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"roberta",
"question-answering",
"en",
"dataset:squad_v2",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | 2022-03-02T23:29:05Z | ---
language: en
license: cc-by-4.0
datasets:
- squad_v2
model-index:
- name: deepset/roberta-base-squad2
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
split: validation
metrics:
- type: exac... | [
-0.409990131855011,
-0.6528233289718628,
0.41005268692970276,
0.0615079328417778,
-0.04213952273130417,
0.10646788775920868,
-0.10608834028244019,
-0.3803134262561798,
0.30146458745002747,
0.29229697585105896,
-0.8476130962371826,
-0.6700934767723083,
-0.27746444940567017,
0.08169548958539... |
dslim/bert-base-NER-uncased | dslim | 2023-05-09T16:37:36Z | 974,454 | 22 | transformers | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"token-classification",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | 2022-03-02T23:29:05Z | ---
license: mit
--- | [
-0.12853388488292694,
-0.18616782128810883,
0.6529127359390259,
0.4943625330924988,
-0.19319313764572144,
0.23607465624809265,
0.36071982979774475,
0.05056332051753998,
0.5793652534484863,
0.740013837814331,
-0.6508103013038635,
-0.2378396987915039,
-0.710224986076355,
-0.04782581701874733... |
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