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
|
|---|---|---|---|---|---|---|---|---|
google
|
US
|
albert
|
albert/albert-base-v1
| 3,450,271
|
fill-mask
|
natural language processing
| 11,842,272
|
['en']
|
deepset
|
DE
|
deepset
|
deepset/bert-base-cased-squad2
| 3,447,007
|
question-answering
|
natural language processing
| 108,311,810
|
['en']
|
meta
|
US
|
facebook
|
facebook/mask2former-swin-tiny-coco-instance
| 3,441,744
|
image-segmentation
|
computer vision
| 47,450,536
|
[]
|
Salesforce
|
US
|
Salesforce
|
Salesforce/codet5p-110m-embedding
| 3,437,229
|
text-generation
|
natural language processing
| 110,000,000
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/msmarco-MiniLM-L12-v3
| 3,427,844
|
sentence-similarity
|
natural language processing
| 33,360,512
|
[]
|
meta
|
US
|
facebook
|
facebook/sam-vit-large
| 3,410,927
|
mask-generation
|
computer vision
| 312,343,088
|
[]
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen3-Next-80B-A3B-Instruct
| 3,400,815
|
text-generation
|
natural language processing
| 81,324,862,720
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/graphcodebert-base
| 3,397,653
|
fill-mask
|
natural language processing
| 125,000,000
|
[]
|
tohoku-nlp
|
JA
|
tohoku-nlp
|
tohoku-nlp/bert-base-japanese-v3
| 3,334,406
|
fill-mask
|
natural language processing
| 110,552,448
|
['ja']
|
flair
|
DE
|
flair
|
flair/ner-german
| 3,332,169
|
token-classification
|
natural language processing
| 395,000,000
|
['de']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2-0.5B-Instruct
| 3,331,371
|
text-generation
|
natural language processing
| 494,032,768
|
['en']
|
google
|
US
|
google-bert
|
google-bert/bert-base-german-dbmdz-uncased
| 3,318,698
|
fill-mask
|
natural language processing
| 110,552,448
|
['de']
|
huggingface
|
FR/US
|
timm
|
timm/tf_efficientnetv2_s.in21k_ft_in1k
| 3,318,123
|
image-classification
|
computer vision
| 21,612,360
|
[]
|
sentence-transformers
|
DE
|
cross-encoder
|
cross-encoder/stsb-roberta-large
| 3,309,261
|
text-ranking
|
natural language processing
| 355,361,283
|
['en']
|
flair
|
DE
|
flair
|
flair/pos-english-fast
| 3,308,448
|
token-classification
|
natural language processing
| 19,000,000
|
['en']
|
google
|
US
|
google
|
google/bert_uncased_L-12_H-768_A-12
| 3,275,773
|
fill-mask
|
natural language processing
| 0
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/codebert-base-mlm
| 3,262,787
|
fill-mask
|
natural language processing
| 125,000,000
|
[]
|
huggingface
|
FR/US
|
timm
|
timm/convnextv2_nano.fcmae_ft_in22k_in1k
| 3,227,071
|
image-classification
|
computer vision
| 15,623,800
|
[]
|
google
|
US
|
google
|
google/pegasus-cnn_dailymail
| 3,206,830
|
summarization
|
natural language processing
| 571,000,000
|
['en']
|
unslothai
|
US
|
unsloth
|
unsloth/Qwen2.5-7B-Instruct-unsloth-bnb-4bit
| 3,203,199
|
text-generation
|
natural language processing
| 4,977,083,691
|
['zho' 'eng' 'fra' 'spa' 'por' 'deu' 'ita' 'rus' 'jpn' 'kor' 'vie' 'tha'
'ara']
|
huggingface
|
FR/US
|
timm
|
timm/wide_resnet50_2.racm_in1k
| 3,198,135
|
image-classification
|
computer vision
| 68,951,464
|
[]
|
openai
|
US
|
openai
|
openai/whisper-small.en
| 3,186,169
|
automatic-speech-recognition
|
audio
| 241,734,144
|
['en']
|
meta
|
US
|
facebook
|
facebook/mms-lid-126
| 3,182,942
|
audio-classification
|
audio
| 966,089,470
|
['ab' 'af' 'ak' 'am' 'ar' 'as' 'av' 'ay' 'az' 'ba' 'bm' 'be' 'bn' 'bi'
'bo' 'sh' 'br' 'bg' 'ca' 'cs' 'ce' 'cv' 'ku' 'cy' 'da' 'de' 'dv' 'dz'
'el' 'en' 'eo' 'et' 'eu' 'ee' 'fo' 'fa' 'fj' 'fi' 'fr' 'fy' 'ff' 'ga'
'gl' 'gn' 'gu' 'zh' 'ht' 'ha' 'he' 'hi' 'sh' 'hu' 'hy' 'ig' 'ia' 'ms'
'is' 'it' 'jv' 'ja' 'kn' 'ka' 'kk' 'kr' 'km' 'ki' 'rw' 'ky' 'ko' 'kv'
'lo' 'la' 'lv' 'ln' 'lt' 'lb' 'lg' 'mh' 'ml' 'mr' 'ms' 'mk' 'mg' 'mt'
'mn' 'mi' 'my' 'zh' 'nl' 'no' 'no' 'ne' 'ny' 'oc' 'om' 'or' 'os' 'pa'
'pl' 'pt' 'ms' 'ps' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu'
'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'qu' 'ro' 'rn'
'ru' 'sg' 'sk' 'sl' 'sm' 'sn' 'sd' 'so' 'es' 'sq' 'su' 'sv' 'sw' 'ta'
'tt' 'te' 'tg' 'tl' 'th' 'ti' 'ts' 'tr' 'uk' 'ms' 'vi' 'wo' 'xh' 'ms'
'yo' 'ms' 'zu' 'za']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-en-ru
| 3,168,579
|
translation
|
natural language processing
| 76,200,000
|
[]
|
meta
|
US
|
meta-llama
|
meta-llama/Llama-2-13b-hf
| 3,149,318
|
text-generation
|
natural language processing
| 13,015,866,880
|
['en']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen3-30B-A3B
| 3,143,462
|
text-generation
|
natural language processing
| 30,532,122,624
|
[]
|
hfl
|
ZH
|
hfl
|
hfl/chinese-electra-180g-base-discriminator
| 3,141,958
| null |
natural language processing
| 102,000,000
|
['zh']
|
google
|
US
|
google-bert
|
google-bert/bert-large-uncased-whole-word-masking
| 3,117,219
|
fill-mask
|
natural language processing
| 336,226,108
|
['en']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2.5-VL-32B-Instruct
| 3,116,816
|
image-text-to-text
|
multimodal-nlp/cv
| 33,452,718,336
|
['en']
|
google
|
US
|
google-bert
|
google-bert/bert-base-german-dbmdz-cased
| 3,104,755
|
fill-mask
|
natural language processing
| 111,000,000
|
['de']
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2.5-3B
| 3,054,375
|
text-generation
|
natural language processing
| 3,085,938,688
|
['en']
|
sentence-transformers
|
DE
|
cross-encoder
|
cross-encoder/ms-marco-TinyBERT-L2
| 3,047,489
|
text-ranking
|
natural language processing
| 4,386,561
|
['en']
|
Salesforce
|
US
|
Salesforce
|
Salesforce/moirai-moe-1.0-R-small
| 3,030,648
|
time-series-forecasting
|
tabular
| 14,000,000
|
[]
|
google
|
US
|
google
|
google/owlv2-large-patch14-ensemble
| 3,024,050
|
zero-shot-object-detection
|
computer vision
| 437,610,759
|
[]
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2.5-72B-Instruct-AWQ
| 3,012,710
|
text-generation
|
natural language processing
| 11,920,908,288
|
['en']
|
microsoft
|
US
|
microsoft
|
microsoft/dit-base-finetuned-rvlcdip
| 3,001,509
|
image-classification
|
computer vision
| 85,800,000
|
[]
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen1.5-1.8B
| 2,998,257
|
text-generation
|
natural language processing
| 1,836,828,672
|
['en']
|
sentence-transformers
|
DE
|
cross-encoder
|
cross-encoder/nli-distilroberta-base
| 2,995,963
|
zero-shot-classification
|
natural language processing
| 82,121,221
|
['en']
|
huggingface
|
FR/US
|
timm
|
timm/vit_base_patch32_clip_448.laion2b_ft_in12k_in1k
| 2,992,471
|
image-classification
|
computer vision
| 88,337,896
|
[]
|
laion
|
DE
|
laion
|
laion/CLIP-ViT-L-14-laion2B-s32B-b82K
| 2,984,974
|
zero-shot-image-classification
|
computer vision
| 427,616,846
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/unixcoder-base
| 2,961,501
|
feature-extraction
|
natural language processing
| 126,000,000
|
['en']
|
MaziyarPanahi
|
FR
|
MaziyarPanahi
|
MaziyarPanahi/Mistral-Small-Instruct-2409-GGUF
| 2,942,627
|
text-generation
|
natural language processing
| 22,200,000,000
|
[]
|
stabilityai
|
UK
|
stabilityai
|
stabilityai/stable-diffusion-3-medium-diffusers
| 2,937,756
|
text-to-image
|
multimodal-nlp/cv
| 0
|
['en']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-da-en
| 2,933,145
|
translation
|
natural language processing
| 75,000,000
|
[]
|
nvidia
|
US
|
nvidia
|
nvidia/parakeet-tdt-1.1b
| 2,931,275
|
automatic-speech-recognition
|
audio
| 1,070,000,000
|
['en']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-en-ar
| 2,928,379
|
translation
|
natural language processing
| 76,400,000
|
['en' 'ar']
|
jonatasgrosman
|
BR
|
jonatasgrosman
|
jonatasgrosman/wav2vec2-large-xlsr-53-greek
| 2,914,150
|
automatic-speech-recognition
|
audio
| 315,472,545
|
['el']
|
google
|
US
|
google
|
google/vit-large-patch32-384
| 2,911,682
|
image-classification
|
computer vision
| 306,000,000
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/distilbert-multilingual-nli-stsb-quora-ranking
| 2,888,302
|
sentence-similarity
|
natural language processing
| 134,734,080
|
[]
|
Salesforce
|
US
|
Salesforce
|
Salesforce/codet5-base
| 2,888,188
|
text2text-generation
|
natural language processing
| 223,000,000
|
[]
|
mrm8488
|
ES
|
mrm8488
|
mrm8488/bert-spanish-cased-finetuned-ner
| 2,887,459
|
token-classification
|
natural language processing
| 109,000,000
|
['es']
|
tohoku-nlp
|
JA
|
tohoku-nlp
|
tohoku-nlp/bert-base-japanese-v2
| 2,878,547
|
fill-mask
|
natural language processing
| 109,000,000
|
['ja']
|
TheBloke
|
UK
|
TheBloke
|
TheBloke/Llama-2-7B-Chat-GPTQ
| 2,867,519
|
text-generation
|
natural language processing
| 1,131,329,536
|
['en']
|
huggingface
|
FR/US
|
timm
|
timm/swin_base_patch4_window7_224.ms_in22k_ft_in1k
| 2,860,658
|
image-classification
|
computer vision
| 88,104,364
|
[]
|
MoritzLaurer
|
DE
|
MoritzLaurer
|
MoritzLaurer/bge-m3-zeroshot-v2.0
| 2,860,208
|
zero-shot-classification
|
natural language processing
| 567,756,802
|
['multilingual']
|
openai
|
US
|
openai
|
openai/whisper-medium.en
| 2,852,626
|
automatic-speech-recognition
|
audio
| 763,856,896
|
['en']
|
Helsinki-NLP
|
FI
|
Helsinki-NLP
|
Helsinki-NLP/opus-mt-ja-en
| 2,845,107
|
translation
|
natural language processing
| 75,300,000
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/mpnet-base
| 2,838,339
|
fill-mask
|
natural language processing
| 132,993,790
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/phi-1_5
| 2,831,040
|
text-generation
|
natural language processing
| 1,418,270,720
|
['en']
|
unslothai
|
US
|
unsloth
|
unsloth/Meta-Llama-3.1-8B-Instruct
| 2,805,908
|
text-generation
|
natural language processing
| 8,030,261,248
|
['en']
|
huggingface
|
FR/US
|
timm
|
timm/tf_mobilenetv3_small_minimal_100.in1k
| 2,798,461
|
image-classification
|
computer vision
| 2,056,848
|
[]
|
huggingface
|
FR/US
|
timm
|
timm/mobilenetv2_100.ra_in1k
| 2,786,092
|
image-classification
|
computer vision
| 3,538,984
|
[]
|
unslothai
|
US
|
unsloth
|
unsloth/llama-3-8b-Instruct-bnb-4bit
| 2,773,972
|
text-generation
|
natural language processing
| 4,650,177,843
|
['en']
|
pyannote
|
FR
|
pyannote
|
pyannote/brouhaha
| 2,762,087
|
voice-activity-detection
|
audio
| 0
|
[]
|
alibaba
|
ZH
|
Qwen
|
Qwen/Qwen2.5-72B-Instruct
| 2,757,850
|
text-generation
|
natural language processing
| 72,706,203,648
|
['en']
|
huggingface
|
FR/US
|
timm
|
timm/vit_base_patch8_224.augreg2_in21k_ft_in1k
| 2,755,657
|
image-classification
|
computer vision
| 86,576,872
|
[]
|
nvidia
|
US
|
nvidia
|
nvidia/mit-b0
| 2,753,084
|
image-classification
|
computer vision
| 3,720,000
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/deberta-large
| 2,750,851
|
fill-mask
|
natural language processing
| 406,000,000
|
['en']
|
google
|
US
|
google
|
google/owlvit-base-patch16
| 2,745,849
|
zero-shot-object-detection
|
computer vision
| 153,000,000
|
[]
|
MaziyarPanahi
|
FR
|
MaziyarPanahi
|
MaziyarPanahi/Mistral-Small-24B-Instruct-2501-GGUF
| 2,743,551
|
text-generation
|
natural language processing
| 23,600,000,000
|
[]
|
emilyalsentzer
|
US
|
emilyalsentzer
|
emilyalsentzer/Bio_Discharge_Summary_BERT
| 2,742,608
|
fill-mask
|
natural language processing
| 110,000,000
|
['en']
|
meta
|
US
|
facebook
|
facebook/wav2vec2-xls-r-1b
| 2,741,049
|
automatic-speech-recognition
|
audio
| 1,000,000,000
|
['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']
|
stabilityai
|
UK
|
stabilityai
|
stabilityai/stable-diffusion-x4-upscaler
| 2,736,699
| null |
computer vision
| 0
|
[]
|
meta
|
US
|
facebook
|
facebook/flava-full
| 2,698,417
|
visual-question-answering
|
multimodal-nlp/cv
| 0
|
[]
|
laion
|
DE
|
laion
|
laion/CLIP-convnext_base_w-laion2B-s13B-b82K-augreg
| 2,685,918
|
zero-shot-image-classification
|
computer vision
| 0
|
[]
|
bigscience
|
WO
|
bigscience
|
bigscience/bloom-1b7
| 2,683,803
|
text-generation
|
natural language processing
| 1,722,408,960
|
['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']
|
openai
|
US
|
openai-community
|
openai-community/roberta-large-openai-detector
| 2,644,146
|
text-classification
|
natural language processing
| 356,411,394
|
['en']
|
google
|
US
|
albert
|
albert/albert-large-v2
| 2,643,591
|
fill-mask
|
natural language processing
| 17,875,424
|
['en']
|
google
|
US
|
google
|
google/gemma-2-27b-it
| 2,641,639
|
text-generation
|
natural language processing
| 27,227,128,320
|
[]
|
bartowski
|
US
|
bartowski
|
bartowski/simplescaling_s1-32B-GGUF
| 2,640,392
|
text-generation
|
natural language processing
| 32,000,000,000
|
[]
|
meta
|
US
|
facebook
|
facebook/dinov2-giant
| 2,636,914
|
image-feature-extraction
|
computer vision
| 1,136,480,768
|
[]
|
microsoft
|
US
|
microsoft
|
microsoft/deberta-v3-xsmall
| 2,635,301
|
fill-mask
|
natural language processing
| 70,800,000
|
['en']
|
microsoft
|
US
|
microsoft
|
microsoft/kosmos-2-patch14-224
| 2,625,226
|
image-to-text
|
multimodal-nlp/cv
| 1,664,485,376
|
[]
|
meta
|
US
|
facebook
|
facebook/mask2former-swin-base-coco-panoptic
| 2,620,407
|
image-segmentation
|
computer vision
| 107,415,620
|
[]
|
google
|
US
|
google
|
google/gemma-3-12b-it
| 2,601,816
|
image-text-to-text
|
multimodal-nlp/cv
| 12,187,325,040
|
[]
|
huggingface
|
FR/US
|
timm
|
timm/vit_base_patch14_reg4_dinov2.lvd142m
| 2,599,242
|
image-feature-extraction
|
computer vision
| 86,582,016
|
[]
|
jonatasgrosman
|
BR
|
jonatasgrosman
|
jonatasgrosman/wav2vec2-large-xlsr-53-hungarian
| 2,596,643
|
automatic-speech-recognition
|
audio
| 315,472,545
|
['hu']
|
huggingface
|
FR/US
|
distilbert
|
distilbert/distilbert-base-german-cased
| 2,566,052
|
fill-mask
|
natural language processing
| 67,431,550
|
['de']
|
nvidia
|
US
|
nvidia
|
nvidia/Llama-3.1-Nemotron-Nano-VL-8B-V1
| 2,553,790
|
image-text-to-text
|
multimodal-nlp/cv
| 8,021,025,280
|
[]
|
huggingface
|
FR/US
|
HuggingFaceTB
|
HuggingFaceTB/SmolLM2-135M-Instruct
| 2,528,058
|
text-generation
|
natural language processing
| 134,515,008
|
['en']
|
flair
|
DE
|
flair
|
flair/chunk-english
| 2,527,640
|
token-classification
|
natural language processing
| 61,000,000
|
['en']
|
TheBloke
|
UK
|
TheBloke
|
TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ
| 2,526,133
|
text-generation
|
natural language processing
| 1,130,190,848
|
['en']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/msmarco-MiniLM-L6-v3
| 2,520,896
|
sentence-similarity
|
natural language processing
| 22,713,728
|
[]
|
google
|
US
|
google
|
google/gemma-7b
| 2,517,029
|
text-generation
|
natural language processing
| 8,537,680,896
|
[]
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/paraphrase-distilroberta-base-v2
| 2,515,663
|
sentence-similarity
|
natural language processing
| 82,118,914
|
[]
|
huggingface
|
FR/US
|
timm
|
timm/resnet18.fb_swsl_ig1b_ft_in1k
| 2,515,034
|
image-classification
|
computer vision
| 11,699,112
|
[]
|
alibaba
|
ZH
|
Alibaba-NLP
|
Alibaba-NLP/gte-Qwen2-1.5B-instruct
| 2,510,995
|
sentence-similarity
|
natural language processing
| 1,776,197,120
|
[]
|
google
|
US
|
google
|
google/tapas-large-finetuned-wtq
| 2,502,035
|
table-question-answering
|
natural language processing
| 336,734,212
|
['en']
|
sentence-transformers
|
DE
|
sentence-transformers
|
sentence-transformers/distiluse-base-multilingual-cased
| 2,498,851
|
sentence-similarity
|
natural language processing
| 134,734,080
|
['multilingual']
|
stabilityai
|
UK
|
stabilityai
|
stabilityai/stable-diffusion-3.5-medium
| 2,498,772
|
text-to-image
|
multimodal-nlp/cv
| 0
|
['en']
|
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