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
int64 0
1,026B
| language
stringlengths 2
2.67k
|
|---|---|---|---|---|---|---|---|---|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2.5-3B-Instruct
| 21,656,882
|
text-generation
|
natural language processing
| 3,085,938,688
|
['en']
|
meta
|
US
|
facebook
|
facebook/wav2vec2-base
| 21,612,853
|
automatic-speech-recognition
|
audio
| 94,600,000
|
['en']
|
deepset
|
DE
|
deepset
|
deepset/sentence_bert
| 21,595,644
|
sentence-similarity
|
natural language processing
| 109,000,000
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/table-transformer-structure-recognition
| 21,442,798
|
object-detection
|
computer vision
| 28,847,819
|
[]
|
dslim
|
US
|
dslim
|
dslim/bert-large-NER
| 21,414,628
|
token-classification
|
natural language processing
| 333,588,489
|
['en']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2-7B-Instruct
| 21,165,290
|
text-generation
|
natural language processing
| 7,615,616,512
|
['en']
|
hfl
|
ZH
|
hfl
|
hfl/chinese-roberta-wwm-ext
| 21,162,903
|
fill-mask
|
natural language processing
| 102,000,000
|
['zh']
|
flair
|
DE
|
flair
|
flair/ner-english-fast
| 20,953,260
|
token-classification
|
natural language processing
| 64,000,000
|
['en']
|
jonatasgrosman
|
BR
|
jonatasgrosman
|
jonatasgrosman/wav2vec2-large-xlsr-53-dutch
| 20,904,506
|
automatic-speech-recognition
|
audio
| 315,472,545
|
['nl']
|
meta
|
US
|
FacebookAI
|
FacebookAI/roberta-large-mnli
| 20,820,136
|
text-classification
|
natural language processing
| 356,412,419
|
['en']
|
mistralai
|
FR
|
mistralai
|
mistralai/Mistral-7B-v0.1
| 20,692,747
|
text-generation
|
natural language processing
| 7,241,732,096
|
['en']
|
meta
|
US
|
meta-llama
|
meta-llama/Llama-3.2-3B-Instruct
| 20,594,067
|
text-generation
|
natural language processing
| 3,212,749,824
|
['en' 'de' 'fr' 'it' 'pt' 'hi' 'es' 'th']
|
openai
|
US
|
openai
|
openai/whisper-base.en
| 20,316,993
|
automatic-speech-recognition
|
audio
| 72,593,408
|
['en']
|
google
|
US
|
google-bert
|
google-bert/bert-large-cased
| 20,190,072
|
fill-mask
|
natural language processing
| 334,661,958
|
['en']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-en-de
| 20,108,948
|
translation
|
natural language processing
| 73,900,000
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/Phi-3-mini-4k-instruct
| 19,945,961
|
text-generation
|
natural language processing
| 3,821,079,552
|
['en' 'fr']
|
stabilityai
|
UK
|
stabilityai
|
stabilityai/sd-vae-ft-mse
| 19,133,381
|
text-to-image
|
multimodal-nlp/cv
| 0
|
[]
|
google
|
US
|
google
|
google/gemma-3-1b-it
| 19,001,038
|
text-generation
|
natural language processing
| 999,885,952
|
[]
|
meta
|
US
|
facebook
|
facebook/detr-resnet-50
| 18,996,487
|
object-detection
|
computer vision
| 41,631,008
|
[]
|
sentence-transformers
|
DE
|
cross-encoder
|
cross-encoder/ms-marco-TinyBERT-L2-v2
| 18,812,071
|
text-ranking
|
natural language processing
| 4,386,561
|
['en']
|
meta
|
US
|
facebook
|
facebook/nllb-200-distilled-600M
| 18,562,052
|
translation
|
natural language processing
| 615,000,000
|
['ace' 'acm' 'acq' 'aeb' 'af' 'ajp' 'ak' 'als' 'am' 'apc' 'ar' 'ars' 'ary'
'arz' 'as' 'ast' 'awa' 'ayr' 'azb' 'azj' 'ba' 'bm' 'ban' 'be' 'bem' 'bn'
'bho' 'bjn' 'bo' 'bs' 'bug' 'bg' 'ca' 'ceb' 'cs' 'cjk' 'ckb' 'crh' 'cy'
'da' 'de' 'dik' 'dyu' 'dz' 'el' 'en' 'eo' 'et' 'eu' 'ee' 'fo' 'fj' 'fi'
'fon' 'fr' 'fur' 'fuv' 'gaz' 'gd' 'ga' 'gl' 'gn' 'gu' 'ht' 'ha' 'he' 'hi'
'hne' 'hr' 'hu' 'hy' 'ig' 'ilo' 'id' 'is' 'it' 'jv' 'ja' 'kab' 'kac'
'kam' 'kn' 'ks' 'ka' 'kk' 'kbp' 'kea' 'khk' 'km' 'ki' 'rw' 'ky' 'kmb'
'kmr' 'knc' 'kg' 'ko' 'lo' 'lij' 'li' 'ln' 'lt' 'lmo' 'ltg' 'lb' 'lua'
'lg' 'luo' 'lus' 'lvs' 'mag' 'mai' 'ml' 'mar' 'min' 'mk' 'mt' 'mni' 'mos'
'mi' 'my' 'nl' 'nn' 'nb' 'npi' 'nso' 'nus' 'ny' 'oc' 'ory' 'pag' 'pa'
'pap' 'pbt' 'pes' 'plt' 'pl' 'pt' 'prs' 'quy' 'ro' 'rn' 'ru' 'sg' 'sa'
'sat' 'scn' 'shn' 'si' 'sk' 'sl' 'sm' 'sn' 'sd' 'so' 'st' 'es' 'sc' 'sr'
'ss' 'su' 'sv' 'swh' 'szl' 'ta' 'taq' 'tt' 'te' 'tg' 'tl' 'th' 'ti' 'tpi'
'tn' 'ts' 'tk' 'tum' 'tr' 'tw' 'tzm' 'ug' 'uk' 'umb' 'ur' 'uzn' 'vec'
'vi' 'war' 'wo' 'xh' 'ydd' 'yo' 'yue' 'zh' 'zsm' 'zu']
|
meta
|
US
|
meta-llama
|
meta-llama/Llama-3.1-405B
| 18,396,599
|
text-generation
|
natural language processing
| 405,853,388,800
|
['en' 'de' 'fr' 'it' 'pt' 'hi' 'es' 'th']
|
meta
|
US
|
facebook
|
facebook/wav2vec2-xls-r-300m
| 18,378,466
|
automatic-speech-recognition
|
audio
| 315,000,000
|
['multilingual' 'ab' 'af' 'sq' 'am' 'ar' 'hy' 'as' 'az' 'ba' 'eu' 'be'
'bn' 'bs' 'br' 'bg' 'my' 'yue' 'ca' 'ceb' 'km' 'zh' 'cv' 'hr' 'cs' 'da'
'dv' 'nl' 'en' 'eo' 'et' 'fo' 'fi' 'fr' 'gl' 'lg' 'ka' 'de' 'el' 'gn'
'gu' 'ht' 'cnh' 'ha' 'haw' 'he' 'hi' 'hu' 'is' 'id' 'ia' 'ga' 'it' 'ja'
'jv' 'kb' 'kn' 'kk' 'rw' 'ky' 'ko' 'ku' 'lo' 'la' 'lv' 'ln' 'lt' 'lm'
'mk' 'mg' 'ms' 'ml' 'mt' 'gv' 'mi' 'mr' 'mn' 'ne' 'no' 'nn' 'oc' 'or'
'ps' 'fa' 'pl' 'pt' 'pa' 'ro' 'rm' 'rm' 'ru' 'sah' 'sa' 'sco' 'sr' 'sn'
'sd' 'si' 'sk' 'sl' 'so' 'hsb' 'es' 'su' 'sw' 'sv' 'tl' 'tg' 'ta' 'tt'
'te' 'th' 'bo' 'tp' 'tr' 'tk' 'uk' 'ur' 'uz' 'vi' 'vot' 'war' 'cy' 'yi'
'yo' 'zu']
|
huggingface
|
FR/US
|
llava-hf
|
llava-hf/llava-v1.6-mistral-7b-hf
| 18,080,130
|
image-text-to-text
|
multimodal-nlp/cv
| 7,566,747,648
|
['en']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/all-roberta-large-v1
| 18,045,608
|
sentence-similarity
|
natural language processing
| 355,360,258
|
['en']
|
BAAI
|
ZH
|
BAAI
|
BAAI/bge-reranker-large
| 17,765,134
|
feature-extraction
|
natural language processing
| 559,891,971
|
['en' 'zh']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen3-0.6B
| 17,266,141
|
text-generation
|
natural language processing
| 751,632,384
|
[]
|
alibaba
|
ZH
|
thenlper
|
thenlper/gte-base
| 17,228,163
|
sentence-similarity
|
natural language processing
| 109,482,752
|
['en']
|
alibaba
|
ZH
|
thenlper
|
thenlper/gte-large
| 17,076,534
|
sentence-similarity
|
natural language processing
| 335,142,400
|
['en']
|
hfl
|
ZH
|
hfl
|
hfl/chinese-bert-wwm-ext
| 17,042,822
|
fill-mask
|
natural language processing
| 102,000,000
|
['zh']
|
mistralai
|
FR
|
mistralai
|
mistralai/Mixtral-8x7B-Instruct-v0.1
| 16,889,289
|
text-generation
|
natural language processing
| 46,702,792,704
|
['fr' 'it' 'de' 'es' 'en']
|
BAAI
|
ZH
|
BAAI
|
BAAI/bge-large-zh-v1.5
| 16,829,812
|
feature-extraction
|
natural language processing
| 324,000,000
|
['zh']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-en-es
| 16,817,296
|
translation
|
natural language processing
| 77,500,000
|
['en' 'es']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2-VL-2B-Instruct
| 16,784,603
|
image-text-to-text
|
multimodal-nlp/cv
| 2,208,985,600
|
['en']
|
meta
|
US
|
facebook
|
facebook/hubert-large-ls960-ft
| 16,637,793
|
automatic-speech-recognition
|
audio
| 315,000,000
|
['en']
|
BAAI
|
ZH
|
BAAI
|
BAAI/bge-reranker-base
| 16,518,999
|
text-classification
|
natural language processing
| 278,044,931
|
['en' 'zh']
|
mistralai
|
FR
|
mistralai
|
mistralai/Mistral-7B-Instruct-v0.3
| 16,446,081
|
text-generation
|
natural language processing
| 7,248,023,552
|
[]
|
amazon
|
US
|
amazon
|
amazon/chronos-bolt-base
| 16,350,997
|
time-series-forecasting
|
tabular
| 205,292,928
|
[]
|
meta
|
US
|
meta-llama
|
meta-llama/Llama-3.2-11B-Vision-Instruct
| 16,306,051
|
image-text-to-text
|
multimodal-nlp/cv
| 10,670,220,835
|
['en' 'de' 'fr' 'it' 'pt' 'hi' 'es' 'th']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-ru-en
| 16,225,531
|
translation
|
natural language processing
| 76,200,000
|
[]
|
google
|
US
|
google
|
google/t5gemma-b-b-prefixlm
| 16,212,442
|
text-generation
|
natural language processing
| 591,490,560
|
[]
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2-VL-7B-Instruct
| 16,136,846
|
image-text-to-text
|
multimodal-nlp/cv
| 8,291,375,616
|
['en']
|
google
|
US
|
google
|
google/owlv2-base-patch16-ensemble
| 16,134,315
|
zero-shot-object-detection
|
computer vision
| 154,966,791
|
[]
|
intfloat
|
ZH
|
intfloat
|
intfloat/multilingual-e5-base
| 15,820,162
|
sentence-similarity
|
natural language processing
| 278,044,162
|
['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']
|
openai
|
US
|
openai
|
openai/gpt-oss-20b
| 15,634,848
|
text-generation
|
natural language processing
| 21,511,953,984
|
[]
|
meta
|
US
|
meta-llama
|
meta-llama/Llama-3.1-70B-Instruct
| 15,605,621
|
text-generation
|
natural language processing
| 70,553,706,496
|
['en' 'de' 'fr' 'it' 'pt' 'hi' 'es' 'th']
|
microsoft
|
US
|
microsoft
|
microsoft/deberta-xlarge-mnli
| 15,492,908
|
text-classification
|
natural language processing
| 759,000,000
|
['en']
|
alibaba
|
ZH
|
Alibaba-NLP
|
Alibaba-NLP/gte-base-en-v1.5
| 15,344,913
|
sentence-similarity
|
natural language processing
| 136,776,192
|
['en']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/distiluse-base-multilingual-cased-v1
| 15,213,652
|
sentence-similarity
|
natural language processing
| 134,734,080
|
['multilingual' 'ar' 'zh' 'nl' 'en' 'fr' 'de' 'it' 'ko' 'pl' 'pt' 'ru'
'es' 'tr']
|
intfloat
|
ZH
|
intfloat
|
intfloat/multilingual-e5-large-instruct
| 15,134,138
|
feature-extraction
|
natural language processing
| 559,890,432
|
['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']
|
google
|
US
|
google
|
google/canine-c
| 15,011,783
|
feature-extraction
|
natural language processing
| 132,099,328
|
['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']
|
meta
|
US
|
facebook
|
facebook/esm2_t33_650M_UR50D
| 14,920,320
|
fill-mask
|
natural language processing
| 652,358,616
|
[]
|
google
|
US
|
google
|
google/owlvit-base-patch32
| 14,831,997
|
zero-shot-object-detection
|
computer vision
| 153,232,471
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/LaBSE
| 14,711,923
|
sentence-similarity
|
natural language processing
| 470,927,360
|
['multilingual' 'af' 'sq' 'am' 'ar' 'hy' 'as' 'az' 'eu' 'be' 'bn' 'bs'
'bg' 'my' 'ca' 'ceb' 'zh' 'co' 'hr' 'cs' 'da' 'nl' 'en' 'eo' 'et' 'fi'
'fr' 'fy' 'gl' 'ka' 'de' 'el' 'gu' 'ht' 'ha' 'haw' 'he' 'hi' 'hmn' 'hu'
'is' 'ig' 'id' 'ga' 'it' 'ja' 'jv' 'kn' 'kk' 'km' 'rw' 'ko' 'ku' 'ky'
'lo' 'la' 'lv' 'lt' 'lb' 'mk' 'mg' 'ms' 'ml' 'mt' 'mi' 'mr' 'mn' 'ne'
'no' 'ny' 'or' 'fa' 'pl' 'pt' 'pa' 'ro' 'ru' 'sm' 'gd' 'sr' 'st' 'sn'
'si' 'sk' 'sl' 'so' 'es' 'su' 'sw' 'sv' 'tl' 'tg' 'ta' 'tt' 'te' 'th'
'bo' 'tr' 'tk' 'ug' 'uk' 'ur' 'uz' 'vi' 'cy' 'wo' 'xh' 'yi' 'yo' 'zu']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/distilbert-base-nli-mean-tokens
| 14,669,940
|
feature-extraction
|
natural language processing
| 66,362,880
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/wavlm-base-plus
| 14,589,262
|
feature-extraction
|
natural language processing
| 94,600,000
|
['en']
|
openai
|
US
|
openai-community
|
openai-community/gpt2-xl
| 14,220,865
|
text-generation
|
natural language processing
| 1,607,942,848
|
['en']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen-VL-Chat
| 14,169,260
|
text-generation
|
natural language processing
| 9,600,000,000
|
['zh' 'en']
|
google
|
US
|
google
|
google/siglip2-so400m-patch16-naflex
| 14,050,176
|
zero-shot-image-classification
|
computer vision
| 1,135,670,962
|
[]
|
meta
|
US
|
meta-llama
|
meta-llama/Llama-2-13b-chat-hf
| 13,958,148
|
text-generation
|
natural language processing
| 13,015,866,880
|
['en']
|
microsoft
|
US
|
microsoft
|
microsoft/table-transformer-structure-recognition-v1.1-all
| 13,837,542
|
object-detection
|
computer vision
| 28,847,819
|
[]
|
alibaba
|
ZH
|
Alibaba-NLP
|
Alibaba-NLP/gte-multilingual-base
| 13,834,972
|
sentence-similarity
|
natural language processing
| 305,369,089
|
['af' 'ar' 'az' 'be' 'bg' 'bn' 'ca' 'ceb' 'cs' 'cy' 'da' 'de' 'el' 'en'
'es' 'et' 'eu' 'fa' 'fi' 'fr' 'gl' 'gu' 'he' 'hi' 'hr' 'ht' 'hu' 'hy'
'id' 'is' 'it' 'ja' 'jv' 'ka' 'kk' 'km' 'kn' 'ko' 'ky' 'lo' 'lt' 'lv'
'mk' 'ml' 'mn' 'mr' 'ms' 'my' 'ne' 'nl' 'no' 'pa' 'pl' 'pt' 'qu' 'ro'
'ru' 'si' 'sk' 'sl' 'so' 'sq' 'sr' 'sv' 'sw' 'ta' 'te' 'th' 'tl' 'tr'
'uk' 'ur' 'vi' 'yo' 'zh']
|
microsoft
|
US
|
microsoft
|
microsoft/Florence-2-large
| 13,774,760
|
image-text-to-text
|
multimodal-nlp/cv
| 776,721,497
|
[]
|
mistralai
|
FR
|
mistralai
|
mistralai/Mistral-7B-Instruct-v0.1
| 13,674,994
|
text-generation
|
natural language processing
| 7,241,732,096
|
[]
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-it-en
| 13,667,940
|
translation
|
natural language processing
| 85,400,000
|
[]
|
laion
|
DE
|
laion
|
laion/clap-htsat-fused
| 13,529,449
|
feature-extraction
|
natural language processing
| 153,558,316
|
[]
|
google
|
US
|
google
|
google/t5-v1_1-xxl
| 13,490,237
|
text2text-generation
|
natural language processing
| 11,100,000,000
|
['en']
|
meta
|
US
|
meta-llama
|
meta-llama/Llama-3.1-8B
| 13,329,938
|
text-generation
|
natural language processing
| 8,030,261,248
|
['en' 'de' 'fr' 'it' 'pt' 'hi' 'es' 'th']
|
meta
|
US
|
facebook
|
facebook/mbart-large-50
| 13,279,154
|
text2text-generation
|
natural language processing
| 611,000,000
|
['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']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/stsb-xlm-r-multilingual
| 13,240,274
|
sentence-similarity
|
natural language processing
| 278,044,162
|
[]
|
huggingface
|
FR/US
|
llava-hf
|
llava-hf/llava-1.5-7b-hf
| 13,219,383
|
image-text-to-text
|
multimodal-nlp/cv
| 7,063,427,072
|
['en']
|
meta
|
US
|
facebook
|
facebook/musicgen-medium
| 13,190,350
|
text-to-audio
|
multimodal-nlp/audio
| 1,500,000,000
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/git-base
| 13,189,309
|
image-to-text
|
multimodal-nlp/cv
| 176,620,287
|
['en']
|
stabilityai
|
UK
|
stabilityai
|
stabilityai/StableBeluga-7B
| 13,152,831
|
text-generation
|
natural language processing
| 6,738,417,664
|
['en']
|
google
|
US
|
google-t5
|
google-t5/t5-3b
| 13,143,141
|
translation
|
natural language processing
| 2,851,599,360
|
['en' 'fr' 'ro' 'de' 'multilingual']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen3-4B-Base
| 13,084,757
|
text-generation
|
natural language processing
| 4,022,468,096
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
| 13,031,204
|
fill-mask
|
natural language processing
| 109,000,000
|
['en']
|
openai
|
US
|
openai
|
openai/whisper-medium
| 13,000,079
|
automatic-speech-recognition
|
audio
| 763,857,920
|
['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']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/distilbert-base-nli-stsb-mean-tokens
| 12,753,805
|
sentence-similarity
|
natural language processing
| 66,362,880
|
[]
|
google
|
US
|
google
|
google/flan-t5-xxl
| 12,729,595
|
text2text-generation
|
natural language processing
| 11,266,928,640
|
['en' 'fr' 'ro' 'de' 'multilingual']
|
meta
|
US
|
facebook
|
facebook/dpr-ctx_encoder-single-nq-base
| 12,715,667
|
question-answering
|
natural language processing
| 109,000,000
|
['en']
|
meta
|
US
|
facebook
|
facebook/dinov2-large
| 12,700,518
|
image-feature-extraction
|
computer vision
| 304,368,640
|
[]
|
google
|
US
|
google-bert
|
google-bert/bert-base-german-cased
| 12,675,056
|
fill-mask
|
natural language processing
| 109,705,010
|
['de']
|
amazon
|
US
|
autogluon
|
autogluon/chronos-t5-tiny
| 12,561,079
|
time-series-forecasting
|
tabular
| 8,394,496
|
[]
|
MaziyarPanahi
|
FR
|
MaziyarPanahi
|
MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF
| 12,558,396
|
text-generation
|
natural language processing
| 7,250,000,000
|
[]
|
huggingface
|
FR/US
|
distilbert
|
distilbert/distilbert-base-uncased-distilled-squad
| 12,556,787
|
question-answering
|
natural language processing
| 66,364,418
|
['en']
|
microsoft
|
US
|
microsoft
|
microsoft/wavlm-large
| 12,415,069
|
feature-extraction
|
natural language processing
| 317,000,000
|
['en']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen3-8B
| 12,272,695
|
text-generation
|
natural language processing
| 8,190,735,360
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/stsb-roberta-base
| 12,101,826
|
sentence-similarity
|
natural language processing
| 124,646,146
|
[]
|
Jean-Baptiste
|
CA
|
Jean-Baptiste
|
Jean-Baptiste/roberta-large-ner-english
| 12,069,012
|
token-classification
|
natural language processing
| 354,315,783
|
['en']
|
deepset
|
DE
|
deepset
|
deepset/bert-large-uncased-whole-word-masking-squad2
| 12,054,746
|
question-answering
|
natural language processing
| 335,143,938
|
['en']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2.5-0.5B-Instruct
| 11,988,843
|
text-generation
|
natural language processing
| 494,032,768
|
['en']
|
google
|
US
|
google
|
google/flan-t5-small
| 11,949,857
|
text2text-generation
|
natural language processing
| 76,961,152
|
['en' 'fr' 'ro' 'de' 'multilingual']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-en-fr
| 11,941,101
|
translation
|
natural language processing
| 74,700,000
|
[]
|
intfloat
|
ZH
|
intfloat
|
intfloat/e5-small-v2
| 11,900,240
|
sentence-similarity
|
natural language processing
| 33,360,512
|
['en']
|
meta
|
US
|
facebook
|
facebook/convnext-base-224
| 11,843,175
|
image-classification
|
computer vision
| 87,600,000
|
[]
|
deepseek-ai
|
ZH
|
deepseek-ai
|
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
| 11,797,126
|
text-generation
|
natural language processing
| 32,763,876,352
|
[]
|
BAAI
|
ZH
|
BAAI
|
BAAI/bge-small-en
| 11,764,946
|
feature-extraction
|
natural language processing
| 33,360,512
|
['en']
|
microsoft
|
US
|
microsoft
|
microsoft/DialoGPT-medium
| 11,697,943
|
text-generation
|
natural language processing
| 355,000,000
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/paraphrase-MiniLM-L3-v2
| 11,690,322
|
sentence-similarity
|
natural language processing
| 17,390,336
|
[]
|
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