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 | 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 | [] |
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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.
- Downloads last month
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