Dataset Viewer
entity
stringclasses 53
values | country
stringclasses 17
values | account
stringclasses 72
values | repo_name
stringlengths 8
107
| downloadsAllTime
int64 0
2.46B
| pipeline_tag
stringclasses 50
values | modality
stringclasses 9
values | model_size
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1,026B
| language
stringlengths 2
2.67k
|
|---|---|---|---|---|---|---|---|---|
google
|
US
|
google-bert
|
google-bert/bert-base-uncased
| 2,463,821,514
|
fill-mask
|
natural language processing
| 110,106,428
|
['en']
|
MIT
|
US
|
MIT
|
MIT/ast-finetuned-audioset-10-10-0.4593
| 2,178,921,320
|
audio-classification
|
audio
| 86,594,063
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/all-MiniLM-L6-v2
| 1,420,790,350
|
sentence-similarity
|
natural language processing
| 22,713,728
|
['en']
|
jonatasgrosman
|
BR
|
jonatasgrosman
|
jonatasgrosman/wav2vec2-large-xlsr-53-english
| 1,104,071,501
|
automatic-speech-recognition
|
audio
| 315,472,545
|
['en']
|
openai
|
US
|
openai
|
openai/clip-vit-large-patch14
| 1,033,204,614
|
zero-shot-image-classification
|
computer vision
| 427,616,846
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/all-mpnet-base-v2
| 1,013,171,555
|
sentence-similarity
|
natural language processing
| 109,486,978
|
['en']
|
Falconsai
|
UAE
|
Falconsai
|
Falconsai/nsfw_image_detection
| 926,590,284
|
image-classification
|
computer vision
| 85,800,194
|
[]
|
huggingface
|
FR/US
|
timm
|
timm/mobilenetv3_small_100.lamb_in1k
| 924,645,597
|
image-classification
|
computer vision
| 2,554,968
|
[]
|
openai
|
US
|
openai-community
|
openai-community/gpt2
| 778,581,289
|
text-generation
|
natural language processing
| 137,022,720
|
['en']
|
meta
|
US
|
FacebookAI
|
FacebookAI/xlm-roberta-large
| 653,641,658
|
fill-mask
|
natural language processing
| 561,192,082
|
['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' 'mr' 'ms' 'my' 'ne' 'nl' 'no' 'om' 'or' 'pa' 'pl' 'ps' 'pt'
'ro' 'ru' 'sa' 'sd' 'si' 'sk' 'sl' 'so' 'sq' 'sr' 'su' 'sv' 'sw' 'ta'
'te' 'th' 'tl' 'tr' 'ug' 'uk' 'ur' 'uz' 'vi' 'xh' 'yi' 'zh']
|
dima806
|
UA
|
dima806
|
dima806/fairface_age_image_detection
| 585,805,818
|
image-classification
|
computer vision
| 85,805,577
|
[]
|
huggingface
|
FR/US
|
distilbert
|
distilbert/distilbert-base-uncased
| 571,427,094
|
fill-mask
|
natural language processing
| 66,985,530
|
['en']
|
microsoft
|
US
|
microsoft
|
microsoft/resnet-50
| 568,484,900
|
image-classification
|
computer vision
| 25,610,152
|
[]
|
meta
|
US
|
FacebookAI
|
FacebookAI/xlm-roberta-base
| 521,134,568
|
fill-mask
|
natural language processing
| 278,885,778
|
['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' 'mr' 'ms' 'my' 'ne' 'nl' 'no' 'om' 'or' 'pa' 'pl' 'ps' 'pt'
'ro' 'ru' 'sa' 'sd' 'si' 'sk' 'sl' 'so' 'sq' 'sr' 'su' 'sv' 'sw' 'ta'
'te' 'th' 'tl' 'tr' 'ug' 'uk' 'ur' 'uz' 'vi' 'xh' 'yi' 'zh']
|
meta
|
US
|
FacebookAI
|
FacebookAI/roberta-base
| 508,774,683
|
fill-mask
|
natural language processing
| 124,697,947
|
['en']
|
BAAI
|
ZH
|
BAAI
|
BAAI/bge-base-en-v1.5
| 489,089,166
|
feature-extraction
|
natural language processing
| 109,482,752
|
['en']
|
meta
|
US
|
FacebookAI
|
FacebookAI/roberta-large
| 454,066,764
|
fill-mask
|
natural language processing
| 355,412,571
|
['en']
|
openai
|
US
|
openai
|
openai/clip-vit-base-patch32
| 438,423,258
|
zero-shot-image-classification
|
computer vision
| 87,500,000
|
[]
|
huggingface
|
FR/US
|
distilbert
|
distilbert/distilbert-base-uncased-finetuned-sst-2-english
| 354,694,203
|
text-classification
|
natural language processing
| 66,955,010
|
['en']
|
amazon
|
US
|
amazon
|
amazon/chronos-t5-small
| 319,856,493
|
time-series-forecasting
|
tabular
| 46,154,240
|
[]
|
huggingface
|
FR/US
|
timm
|
timm/resnet50.a1_in1k
| 298,935,933
|
image-classification
|
computer vision
| 25,600,000
|
[]
|
google
|
US
|
google-bert
|
google-bert/bert-base-cased
| 286,683,645
|
fill-mask
|
natural language processing
| 108,932,934
|
['en']
|
cardiffnlp
|
UK
|
cardiffnlp
|
cardiffnlp/twitter-roberta-base-sentiment-latest
| 283,279,781
|
text-classification
|
natural language processing
| 124,697,947
|
['en']
|
pysentimiento
|
AR
|
pysentimiento
|
pysentimiento/robertuito-sentiment-analysis
| 263,074,158
|
text-classification
|
natural language processing
| 108,791,173
|
['es']
|
pyannote
|
FR
|
pyannote
|
pyannote/segmentation-3.0
| 260,557,007
|
voice-activity-detection
|
audio
| 124,000
|
[]
|
pyannote
|
FR
|
pyannote
|
pyannote/wespeaker-voxceleb-resnet34-LM
| 258,340,562
| null |
audio
| 6,600,000
|
[]
|
google
|
US
|
google
|
google/electra-base-discriminator
| 254,311,637
|
fill-mask
|
natural language processing
| 109,000,000
|
['en']
|
huggingface
|
FR/US
|
distilbert
|
distilbert/distilgpt2
| 224,564,775
|
text-generation
|
natural language processing
| 88,204,032
|
['en']
|
google
|
US
|
google-bert
|
google-bert/bert-base-multilingual-cased
| 213,571,826
|
fill-mask
|
natural language processing
| 178,566,653
|
['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' 'mg' 'ms' 'ml' 'mr' 'mn' 'min' 'ne' 'new' 'nb' 'nn'
'oc' 'fa' 'pms' 'pl' 'pt' 'pa' 'ro' 'ru' 'sco' 'sr' 'hr' 'scn' 'sk' 'sl'
'aze' 'es' 'su' 'sw' 'sv' 'tl' 'tg' 'th' 'ta' 'tt' 'te' 'tr' 'uk' 'ud'
'uz' 'vi' 'vo' 'war' 'cy' 'fry' 'pnb' 'yo']
|
openai
|
US
|
openai
|
openai/clip-vit-base-patch16
| 212,686,547
|
zero-shot-image-classification
|
computer vision
| 598,532,764
|
[]
|
google
|
US
|
google
|
google/vit-base-patch16-224-in21k
| 210,554,471
|
image-feature-extraction
|
computer vision
| 86,389,248
|
[]
|
pyannote
|
FR
|
pyannote
|
pyannote/speaker-diarization-3.1
| 209,153,032
|
automatic-speech-recognition
|
audio
| 1,470,000
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/all-MiniLM-L12-v2
| 206,870,642
|
sentence-similarity
|
natural language processing
| 33,360,512
|
['en']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
| 193,924,607
|
sentence-similarity
|
natural language processing
| 117,654,272
|
['multilingual' 'ar' 'bg' 'ca' 'cs' 'da' 'de' 'el' 'en' 'es' 'et' 'fa'
'fi' 'fr' 'gl' 'gu' 'he' 'hi' 'hr' 'hu' 'hy' 'id' 'it' 'ja' 'ka' 'ko'
'ku' 'lt' 'lv' 'mk' 'mn' 'mr' 'ms' 'my' 'nb' 'nl' 'pl' 'pt' 'ro' 'ru'
'sk' 'sl' 'sq' 'sr' 'sv' 'th' 'tr' 'uk' 'ur' 'vi']
|
Bingsu
|
KO
|
Bingsu
|
Bingsu/adetailer
| 187,061,434
|
object-detection
|
computer vision
| 30,000,000
|
[]
|
meta
|
US
|
facebook
|
facebook/fasttext-language-identification
| 179,210,295
|
text-classification
|
natural language processing
| 650,000,000
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/deberta-base
| 175,841,066
|
fill-mask
|
natural language processing
| 139,000,000
|
['en']
|
pyannote
|
FR
|
pyannote
|
pyannote/segmentation
| 167,643,856
|
voice-activity-detection
|
audio
| 1,500,000
|
[]
|
openai
|
US
|
openai
|
openai/clip-vit-large-patch14-336
| 159,914,180
|
zero-shot-image-classification
|
computer vision
| 428,000,000
|
[]
|
google
|
US
|
google-t5
|
google-t5/t5-small
| 158,929,060
|
translation
|
natural language processing
| 60,506,880
|
['en' 'fr' 'ro' 'de' 'multilingual']
|
google
|
US
|
albert
|
albert/albert-base-v2
| 158,652,571
|
fill-mask
|
natural language processing
| 11,842,272
|
['en']
|
microsoft
|
US
|
microsoft
|
microsoft/layoutlmv3-base
| 156,103,237
|
document-question-answering
|
multimodal-nlp/cv
| 125,327,490
|
['en']
|
google
|
US
|
google-t5
|
google-t5/t5-base
| 146,348,514
|
text2text-generation
|
natural language processing
| 222,903,936
|
['en' 'fr' 'ro' 'de']
|
mrm8488
|
ES
|
mrm8488
|
mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
| 143,102,282
|
text-classification
|
natural language processing
| 82,121,221
|
[]
|
CIDAS
|
DE
|
CIDAS
|
CIDAS/clipseg-rd64-refined
| 134,431,028
|
image-segmentation
|
computer vision
| 150,748,019
|
[]
|
google
|
US
|
google-bert
|
google-bert/bert-base-chinese
| 129,451,250
|
fill-mask
|
natural language processing
| 102,882,442
|
['zh']
|
jonatasgrosman
|
BR
|
jonatasgrosman
|
jonatasgrosman/wav2vec2-large-xlsr-53-portuguese
| 129,292,819
|
automatic-speech-recognition
|
audio
| 315,472,545
|
['pt']
|
google
|
US
|
google
|
google/vit-base-patch16-224
| 126,571,290
|
image-classification
|
computer vision
| 86,567,656
|
[]
|
emilyalsentzer
|
US
|
emilyalsentzer
|
emilyalsentzer/Bio_ClinicalBERT
| 124,810,930
|
fill-mask
|
natural language processing
| 108,000,000
|
['en']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/paraphrase-MiniLM-L6-v2
| 122,306,049
|
sentence-similarity
|
natural language processing
| 22,713,728
|
[]
|
meta
|
US
|
facebook
|
facebook/bart-large-mnli
| 121,568,465
|
zero-shot-classification
|
natural language processing
| 407,344,133
|
[]
|
meta
|
US
|
facebook
|
facebook/dino-vitb16
| 121,209,694
|
image-feature-extraction
|
computer vision
| 86,000,000
|
[]
|
meta
|
US
|
facebook
|
facebook/bart-large-cnn
| 119,793,734
|
summarization
|
natural language processing
| 406,290,432
|
['en']
|
allenai
|
US
|
allenai
|
allenai/longformer-base-4096
| 118,752,328
|
fill-mask
|
natural language processing
| 149,000,000
|
['en']
|
tohoku-nlp
|
JA
|
tohoku-nlp
|
tohoku-nlp/bert-base-japanese
| 117,936,219
|
fill-mask
|
natural language processing
| 111,000,000
|
['ja']
|
huggingface
|
FR/US
|
distilbert
|
distilbert/distilroberta-base
| 117,843,349
|
fill-mask
|
natural language processing
| 82,760,793
|
['en']
|
prajjwal1
|
US
|
prajjwal1
|
prajjwal1/bert-tiny
| 115,967,016
|
fill-mask
|
natural language processing
| 4,390,000
|
['en']
|
cardiffnlp
|
UK
|
cardiffnlp
|
cardiffnlp/twitter-roberta-base-sentiment
| 115,414,557
|
text-classification
|
natural language processing
| 125,000,000
|
['en']
|
meta
|
US
|
facebook
|
facebook/opt-125m
| 114,614,991
|
text-generation
|
natural language processing
| 125,000,000
|
['en']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2.5-1.5B-Instruct
| 113,570,631
|
text-generation
|
natural language processing
| 1,543,714,304
|
['en']
|
huggingface
|
FR/US
|
distilbert
|
distilbert/distilbert-base-multilingual-cased
| 108,879,744
|
fill-mask
|
natural language processing
| 135,445,755
|
['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' 'mg' 'ms' 'ml' 'mr' 'mn' 'min' 'ne' 'new' 'nb' 'nn'
'oc' 'fa' 'pms' 'pl' 'pt' 'pa' 'ro' 'ru' 'sco' 'sr' 'hr' 'scn' 'sk' 'sl'
'aze' 'es' 'su' 'sw' 'sv' 'tl' 'tg' 'th' 'ta' 'tt' 'te' 'tr' 'uk' 'ud'
'uz' 'vi' 'vo' 'war' 'cy' 'fry' 'pnb' 'yo']
|
amazon
|
US
|
amazon
|
amazon/chronos-t5-tiny
| 107,389,657
|
time-series-forecasting
|
tabular
| 8,394,496
|
[]
|
openai
|
US
|
openai
|
openai/whisper-small
| 103,294,552
|
automatic-speech-recognition
|
audio
| 241,734,912
|
['en' 'zh' 'de' 'es' 'ru' 'ko' 'fr' 'ja' 'pt' 'tr' 'pl' 'ca' 'nl' 'ar'
'sv' 'it' 'id' 'hi' 'fi' 'vi' 'he' 'uk' 'el' 'ms' 'cs' 'ro' 'da' 'hu'
'ta' 'no' 'th' 'ur' 'hr' 'bg' 'lt' 'la' 'mi' 'ml' 'cy' 'sk' 'te' 'fa'
'lv' 'bn' 'sr' 'az' 'sl' 'kn' 'et' 'mk' 'br' 'eu' 'is' 'hy' 'ne' 'mn'
'bs' 'kk' 'sq' 'sw' 'gl' 'mr' 'pa' 'si' 'km' 'sn' 'yo' 'so' 'af' 'oc'
'ka' 'be' 'tg' 'sd' 'gu' 'am' 'yi' 'lo' 'uz' 'fo' 'ht' 'ps' 'tk' 'nn'
'mt' 'sa' 'lb' 'my' 'bo' 'tl' 'mg' 'as' 'tt' 'haw' 'ln' 'ha' 'ba' 'jw'
'su']
|
stabilityai
|
UK
|
stabilityai
|
stabilityai/stable-diffusion-xl-base-1.0
| 98,610,816
|
text-to-image
|
multimodal-nlp/cv
| 0
|
[]
|
CompVis
|
DE
|
CompVis
|
CompVis/stable-diffusion-safety-checker
| 98,594,997
|
image-feature-extraction
|
computer vision
| 650,000,000
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/multi-qa-MiniLM-L6-cos-v1
| 98,327,645
|
sentence-similarity
|
natural language processing
| 22,713,728
|
['en']
|
pyannote
|
FR
|
pyannote
|
pyannote/speaker-diarization
| 96,519,648
|
automatic-speech-recognition
|
audio
| 1,000,000
|
[]
|
meta
|
US
|
facebook
|
facebook/esmfold_v1
| 94,878,684
| null |
unknown
| 3,700,000,000
|
[]
|
meta
|
US
|
facebook
|
facebook/wav2vec2-base-960h
| 92,790,402
|
automatic-speech-recognition
|
audio
| 94,395,552
|
['en']
|
huggingface
|
FR/US
|
timm
|
timm/mobilenetv3_large_100.ra_in1k
| 92,783,559
|
image-classification
|
computer vision
| 5,507,432
|
[]
|
meta
|
US
|
facebook
|
facebook/contriever
| 92,432,074
|
sentence-similarity
|
natural language processing
| 218,977,756
|
[]
|
SamLowe
|
UK
|
SamLowe
|
SamLowe/roberta-base-go_emotions
| 90,822,925
|
text-classification
|
natural language processing
| 124,667,678
|
['en']
|
Jean-Baptiste
|
CA
|
Jean-Baptiste
|
Jean-Baptiste/camembert-ner
| 88,789,586
|
token-classification
|
natural language processing
| 110,035,719
|
['fr']
|
patrickjohncyh
|
??
|
patrickjohncyh
|
patrickjohncyh/fashion-clip
| 88,411,923
|
zero-shot-image-classification
|
computer vision
| 151,277,439
|
['en']
|
almanach
|
FR
|
almanach
|
almanach/camembert-base
| 86,793,692
|
fill-mask
|
natural language processing
| 111,246,085
|
['fr']
|
meta
|
US
|
meta-llama
|
meta-llama/Llama-3.1-8B-Instruct
| 86,778,760
|
text-generation
|
natural language processing
| 8,030,261,248
|
['en' 'de' 'fr' 'it' 'pt' 'hi' 'es' 'th']
|
Supabase
|
US
|
Supabase
|
Supabase/gte-small
| 86,218,327
|
feature-extraction
|
natural language processing
| 33,360,512
|
['en']
|
BAAI
|
ZH
|
BAAI
|
BAAI/bge-small-en-v1.5
| 84,559,472
|
feature-extraction
|
natural language processing
| 33,360,512
|
['en']
|
laion
|
DE
|
laion
|
laion/CLIP-ViT-B-32-laion2B-s34B-b79K
| 84,191,887
|
zero-shot-image-classification
|
computer vision
| 151,277,439
|
[]
|
MoritzLaurer
|
DE
|
MoritzLaurer
|
MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli
| 84,059,240
|
zero-shot-classification
|
natural language processing
| 184,424,963
|
['en']
|
deepset
|
DE
|
deepset
|
deepset/roberta-base-squad2
| 83,800,549
|
question-answering
|
natural language processing
| 124,057,092
|
['en']
|
google
|
US
|
google-bert
|
google-bert/bert-large-uncased
| 82,356,678
|
fill-mask
|
natural language processing
| 336,226,108
|
['en']
|
meta
|
US
|
facebook
|
facebook/bart-base
| 81,738,235
|
feature-extraction
|
natural language processing
| 139,420,416
|
['en']
|
openai
|
US
|
openai
|
openai/whisper-large-v3
| 81,578,947
|
automatic-speech-recognition
|
audio
| 1,543,490,560
|
['en' 'zh' 'de' 'es' 'ru' 'ko' 'fr' 'ja' 'pt' 'tr' 'pl' 'ca' 'nl' 'ar'
'sv' 'it' 'id' 'hi' 'fi' 'vi' 'he' 'uk' 'el' 'ms' 'cs' 'ro' 'da' 'hu'
'ta' 'no' 'th' 'ur' 'hr' 'bg' 'lt' 'la' 'mi' 'ml' 'cy' 'sk' 'te' 'fa'
'lv' 'bn' 'sr' 'az' 'sl' 'kn' 'et' 'mk' 'br' 'eu' 'is' 'hy' 'ne' 'mn'
'bs' 'kk' 'sq' 'sw' 'gl' 'mr' 'pa' 'si' 'km' 'sn' 'yo' 'so' 'af' 'oc'
'ka' 'be' 'tg' 'sd' 'gu' 'am' 'yi' 'lo' 'uz' 'fo' 'ht' 'ps' 'tk' 'nn'
'mt' 'sa' 'lb' 'my' 'bo' 'tl' 'mg' 'as' 'tt' 'haw' 'ln' 'ha' 'ba' 'jw'
'su']
|
jonatasgrosman
|
BR
|
jonatasgrosman
|
jonatasgrosman/wav2vec2-large-xlsr-53-russian
| 81,397,167
|
automatic-speech-recognition
|
audio
| 315,472,545
|
['ru']
|
sentence-transformers
|
DE
|
cross-encoder
|
cross-encoder/ms-marco-MiniLM-L6-v2
| 79,679,319
|
text-ranking
|
natural language processing
| 22,714,113
|
['en']
|
colbert-ir
|
US
|
colbert-ir
|
colbert-ir/colbertv2.0
| 78,405,589
|
sentence-similarity
|
natural language processing
| 109,581,056
|
['en']
|
jonatasgrosman
|
BR
|
jonatasgrosman
|
jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn
| 77,831,279
|
automatic-speech-recognition
|
audio
| 315,472,545
|
['zh']
|
cardiffnlp
|
UK
|
cardiffnlp
|
cardiffnlp/twitter-roberta-base-irony
| 76,661,503
|
text-classification
|
natural language processing
| 125,000,000
|
['en']
|
meta
|
US
|
facebook
|
facebook/dinov2-base
| 74,862,091
|
image-feature-extraction
|
computer vision
| 86,580,480
|
[]
|
dslim
|
US
|
dslim
|
dslim/bert-base-NER
| 74,622,587
|
token-classification
|
natural language processing
| 108,317,193
|
['en']
|
laion
|
DE
|
laion
|
laion/CLIP-ViT-B-16-laion2B-s34B-b88K
| 74,516,544
|
zero-shot-image-classification
|
computer vision
| 160,000,000
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/layoutlm-base-uncased
| 70,443,263
|
document-question-answering
|
multimodal-nlp/cv
| 112,627,968
|
['en']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-zh-en
| 66,174,370
|
translation
|
natural language processing
| 77,500,000
|
['zh' 'en']
|
google
|
US
|
google-bert
|
google-bert/bert-base-multilingual-uncased
| 66,048,751
|
fill-mask
|
natural language processing
| 168,055,961
|
['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' 'mg' 'ms' 'ml' 'mr' 'min' 'ne' 'new' 'nb' 'nn' 'oc'
'fa' 'pms' 'pl' 'pt' 'pa' 'ro' 'ru' 'sco' 'sr' 'hr' 'scn' 'sk' 'sl' 'aze'
'es' 'su' 'sw' 'sv' 'tl' 'tg' 'ta' 'tt' 'te' 'tr' 'uk' 'ud' 'uz' 'vi'
'vo' 'war' 'cy' 'fry' 'pnb' 'yo']
|
TheBloke
|
UK
|
TheBloke
|
TheBloke/phi-2-GGUF
| 60,145,209
|
text-generation
|
natural language processing
| 2,780,000,000
|
['en']
|
sentence-transformers
|
DE
|
cross-encoder
|
cross-encoder/ms-marco-MiniLM-L12-v2
| 58,793,044
|
text-ranking
|
natural language processing
| 33,360,897
|
['en']
|
google
|
US
|
google
|
google/siglip-so400m-patch14-384
| 56,669,274
|
zero-shot-image-classification
|
computer vision
| 877,960,498
|
[]
|
huggingface
|
FR/US
|
timm
|
timm/resnet18.a1_in1k
| 56,537,226
|
image-classification
|
computer vision
| 11,699,112
|
[]
|
stable-diffusion-v1-5
|
UK
|
stable-diffusion-v1-5
|
stable-diffusion-v1-5/stable-diffusion-v1-5
| 55,978,356
|
text-to-image
|
multimodal-nlp/cv
| 0
|
[]
|
End of preview. Expand
in Data Studio
Description
Data used to build the plots of this blogpost.
Contains all the models of the 50 most downloaded entities on HF as of October 1, 2025.
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