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15,700 |
glasses/wide_resnet50_2
|
glasses
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,701 |
glob-asr/base-spanish-asr
|
glob-asr
|
wav2vec2
| 10 | 37 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false | null | null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer']
| true | true | true | 1,218 |
15,702 |
glob-asr/test-asr-sp-model
|
glob-asr
|
wav2vec2
| 12 | 8 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'feature-extraction', 'transformers']
| false | false | false | 0 |
15,703 |
glob-asr/wav2vec2-large-xls-r-300m-guarani-small
|
glob-asr
|
wav2vec2
| 14 | 8 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['gn']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'gn', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'hf-asr-leaderboard', 'license:apache-2.0']
| true | true | true | 1,551 |
15,704 |
glob-asr/wav2vec2-large-xls-r-300m-spanish-medium
|
glob-asr
| null | 5 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,705 |
glob-asr/wav2vec2-large-xls-r-300m-spanish-small
|
glob-asr
|
wav2vec2
| 7 | 7 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false | null | null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer']
| true | true | true | 3,627 |
15,706 |
glob-asr/wav2vec2-xls-r-300m-spanish-large-LM
|
glob-asr
|
wav2vec2
| 15 | 14 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'es', 'robust-speech-event', 'license:apache-2.0']
| true | true | true | 3,329 |
15,707 |
glob-asr/xls-r-es-test-lm
|
glob-asr
|
wav2vec2
| 55 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['es']
|
['mozilla-foundation/common_voice_8_0']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'es', 'dataset:mozilla-foundation/common_voice_8_0', 'transformers', 'generated_from_trainer', 'hf-asr-leaderboard', 'mozilla-foundation/common_voice_8_0', 'robust-speech-event', 'license:apache-2.0', 'model-index', 'has_space']
| true | true | true | 10,181 |
15,708 |
gloukatou/bert-base-multilingual-uncased-finetuned-pos
|
gloukatou
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,709 |
gloukatou/distilbert-base-uncased-finetuned-pos
|
gloukatou
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,710 |
gmihaila/distilbert-base-uncased
|
gmihaila
|
distilbert
| 6 | 12 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'transformers']
| false | false | false | 0 |
15,711 |
gmihaila/wav2vec2-large-xlsr-53-romanian
|
gmihaila
|
wav2vec2
| 9 | 151 |
transformers
| 1 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['ro']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'ro', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 3,590 |
15,712 |
gngdb/distilgpt2-finetuned-wikitext2
|
gngdb
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,713 |
gngpostalsrvc/BERiTmodel2
|
gngpostalsrvc
|
roberta
| 13 | 6 |
transformers
| 0 |
fill-mask
| true | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'roberta', 'fill-mask', 'transformers', 'generated_from_trainer', 'license:mit', 'autotrain_compatible']
| true | true | true | 1,632 |
15,714 |
gniemiec/mt5-small-finetuned-xsum
|
gniemiec
|
mt5
| 16 | 10 |
transformers
| 0 |
text2text-generation
| true | false | false |
apache-2.0
| null |
['xsum']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'mt5', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index', 'autotrain_compatible']
| true | true | true | 1,422 |
15,715 |
gniemiec/t5-small-finetuned-xsum
|
gniemiec
|
t5
| 21 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false |
apache-2.0
| null |
['xsum']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 't5', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index', 'autotrain_compatible']
| true | true | true | 1,412 |
15,716 |
godiec/diam
|
godiec
|
vit
| 10 | 15 |
transformers
| 0 |
image-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'vit', 'image-classification', 'transformers', 'huggingpics', 'model-index', 'autotrain_compatible']
| false | false | false | 0 |
15,717 |
gogamza/kobart-base-v1
|
gogamza
|
bart
| 10 | 3,535 |
transformers
| 0 |
feature-extraction
| true | false | false |
mit
|
['ko']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bart', 'feature-extraction', 'ko', 'transformers', 'license:mit', 'has_space']
| false | true | true | 235 |
15,718 |
gogamza/kobart-base-v2
|
gogamza
|
bart
| 10 | 19,087 |
transformers
| 14 |
feature-extraction
| true | false | false |
mit
|
['ko']
| null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bart', 'feature-extraction', 'ko', 'arxiv:1910.13461', 'arxiv:1910.09700', 'transformers', 'license:mit']
| false | true | true | 4,846 |
15,719 |
gogamza/kobart-summarization
|
gogamza
|
bart
| 11 | 2,703 |
transformers
| 3 |
text2text-generation
| true | false | false |
mit
|
['ko']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bart', 'text2text-generation', 'ko', 'transformers', 'license:mit', 'autotrain_compatible', 'has_space']
| false | true | true | 979 |
15,720 |
gogamza/kobert-legalqa-v1
|
gogamza
|
bert
| 4 | 12 |
transformers
| 1 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'next-sentence-prediction', 'transformers']
| false | false | true | 58 |
15,721 |
Language-Media-Lab/byt5-small-ain-jpn-mt
|
Language-Media-Lab
|
t5
| 11 | 27 |
transformers
| 2 |
translation
| true | false | false | null |
['ain', 'ja']
| null | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'ain', 'ja', 'transformers', 'translation', 'autotrain_compatible']
| false | true | true | 233 |
15,722 |
Language-Media-Lab/byt5-small-jpn-ain-mt
|
Language-Media-Lab
|
t5
| 11 | 21 |
transformers
| 1 |
translation
| true | false | false | null |
['jpn', 'ain']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'jpn', 'ain', 'transformers', 'translation', 'autotrain_compatible']
| false | true | true | 233 |
15,723 |
Language-Media-Lab/mt5-small-ain-jpn-mt
|
Language-Media-Lab
|
mt5
| 12 | 10 |
transformers
| 0 |
translation
| true | false | false | null |
['jpn', 'ain']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mt5', 'text2text-generation', 'jpn', 'ain', 'transformers', 'translation', 'autotrain_compatible']
| false | true | true | 230 |
15,724 |
Language-Media-Lab/mt5-small-jpn-ain-mt
|
Language-Media-Lab
|
mt5
| 12 | 16 |
transformers
| 0 |
translation
| true | false | false | null |
['jpn', 'ain']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mt5', 'text2text-generation', 'jpn', 'ain', 'transformers', 'translation', 'autotrain_compatible']
| false | true | true | 230 |
15,725 |
gokulkarthik/distilbert-base-uncased-finetuned-squad
|
gokulkarthik
|
distilbert
| 14 | 21 |
transformers
| 0 |
question-answering
| true | false | false |
apache-2.0
| null |
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 928 |
15,726 |
gokulkarthik/xlm-roberta-qa-chaii
|
gokulkarthik
|
xlm-roberta
| 11 | 30 |
transformers
| 0 |
question-answering
| true | false | false | null |
['en', 'ta', 'hi']
|
['squad', 'chaii']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'question-answering', 'en', 'ta', 'hi', 'dataset:squad', 'dataset:chaii', 'transformers', 'autotrain_compatible']
| false | true | true | 485 |
15,727 |
gokulkarthik/xlm-roberta-qa-dravidian
|
gokulkarthik
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,728 |
gokuls/wav2vec2-base-finetuned-ic-action
|
gokuls
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,729 |
gokulsjain/bert
|
gokulsjain
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,730 |
gonced8/pegasus-conversational-qa
|
gonced8
|
pegasus
| 10 | 20 |
transformers
| 0 |
text2text-generation
| true | true | false |
gpl-3.0
| null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'safetensors', 'pegasus', 'text2text-generation', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 2,362 |
15,731 |
gonced8/pegasus-qa
|
gonced8
|
pegasus
| 6 | 10 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'pegasus', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
15,732 |
gone2808/distilbert-base-uncased-finetuned-squad
|
gone2808
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,733 |
gone2808/test
|
gone2808
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
15,734 |
goodjw/gpt-trinity-poem
|
goodjw
|
gpt2
| 8 | 10 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
15,735 |
goodjw/klue-bert-mlm
|
goodjw
|
bert
| 6 | 5 |
transformers
| 1 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
15,736 |
goodjw/klue-roberta-large-tapt
|
goodjw
|
roberta
| 6 | 11 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
15,737 |
goodjw/klue-roberta-mlm
|
goodjw
|
roberta
| 6 | 8 |
transformers
| 1 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
15,738 |
goodjw/koelectra-mlm
|
goodjw
|
electra
| 5 | 6 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
15,739 |
google/bert2bert_L-24_wmt_de_en
|
google
|
encoder-decoder
| 6 | 1,798 |
transformers
| 5 |
translation
| true | false | false |
apache-2.0
|
['en', 'de']
|
['wmt14']
| null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'en', 'de', 'dataset:wmt14', 'arxiv:1907.12461', 'transformers', 'translation', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,221 |
15,740 |
google/bert2bert_L-24_wmt_en_de
|
google
|
encoder-decoder
| 6 | 201 |
transformers
| 3 |
translation
| true | false | false |
apache-2.0
|
['en', 'de']
|
['wmt14']
| null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'en', 'de', 'dataset:wmt14', 'arxiv:1907.12461', 'transformers', 'translation', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,241 |
15,741 |
google/bert_for_seq_generation_L-24_bbc_encoder
|
google
|
bert-generation
| 4 | 1,154 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert-generation', 'transformers']
| false | false | false | 0 |
15,742 |
google/bert_uncased_L-10_H-128_A-2
|
google
|
bert
| 8 | 513 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,743 |
google/bert_uncased_L-10_H-256_A-4
|
google
|
bert
| 8 | 19 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,744 |
google/bert_uncased_L-10_H-512_A-8
|
google
|
bert
| 8 | 32 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,745 |
google/bert_uncased_L-10_H-768_A-12
|
google
|
bert
| 8 | 641 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,746 |
google/bert_uncased_L-12_H-128_A-2
|
google
|
bert
| 8 | 670 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,747 |
google/bert_uncased_L-12_H-256_A-4
|
google
|
bert
| 8 | 48 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,748 |
google/bert_uncased_L-12_H-512_A-8
|
google
|
bert
| 8 | 192 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,749 |
google/bert_uncased_L-12_H-768_A-12
|
google
|
bert
| 8 | 47,692 |
transformers
| 4 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,750 |
google/bert_uncased_L-2_H-128_A-2
|
google
|
bert
| 6 | 736,594 |
transformers
| 20 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 4,526 |
15,751 |
google/bert_uncased_L-2_H-256_A-4
|
google
|
bert
| 8 | 3,815 |
transformers
| 2 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,752 |
google/bert_uncased_L-2_H-512_A-8
|
google
|
bert
| 8 | 312 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,753 |
google/bert_uncased_L-2_H-768_A-12
|
google
|
bert
| 8 | 1,237 |
transformers
| 2 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,754 |
google/bert_uncased_L-4_H-128_A-2
|
google
|
bert
| 8 | 895 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,755 |
google/bert_uncased_L-4_H-256_A-4
|
google
|
bert
| 8 | 20,629 |
transformers
| 1 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,756 |
google/bert_uncased_L-4_H-512_A-8
|
google
|
bert
| 8 | 20,425 |
transformers
| 3 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,757 |
google/bert_uncased_L-4_H-768_A-12
|
google
|
bert
| 8 | 2,250 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,758 |
google/bert_uncased_L-6_H-128_A-2
|
google
|
bert
| 8 | 1,238 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,759 |
google/bert_uncased_L-6_H-256_A-4
|
google
|
bert
| 8 | 61 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,760 |
google/bert_uncased_L-6_H-512_A-8
|
google
|
bert
| 8 | 1,684 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,761 |
google/bert_uncased_L-6_H-768_A-12
|
google
|
bert
| 8 | 14,595 |
transformers
| 3 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,762 |
google/bert_uncased_L-8_H-128_A-2
|
google
|
bert
| 8 | 520 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,763 |
google/bert_uncased_L-8_H-256_A-4
|
google
|
bert
| 8 | 3,488 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,764 |
google/bert_uncased_L-8_H-512_A-8
|
google
|
bert
| 8 | 4,113 |
transformers
| 3 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0']
| false | true | true | 4,526 |
15,765 |
google/bert_uncased_L-8_H-768_A-12
|
google
|
bert
| 8 | 1,014 |
transformers
| 0 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'arxiv:1908.08962', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 4,526 |
15,766 |
google/bigbird-base-trivia-itc
|
google
|
big_bird
| 8 | 4,584 |
transformers
| 5 |
question-answering
| true | false | true |
apache-2.0
|
['en']
|
['trivia_qa']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'big_bird', 'question-answering', 'en', 'dataset:trivia_qa', 'arxiv:2007.14062', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 1,953 |
15,767 |
google/bigbird-pegasus-large-arxiv
|
google
|
bigbird_pegasus
| 9 | 11,535 |
transformers
| 26 |
summarization
| true | false | false |
apache-2.0
|
['en']
|
['scientific_papers']
| null | 13 | 4 | 5 | 4 | 0 | 0 | 0 |
['pytorch', 'bigbird_pegasus', 'text2text-generation', 'en', 'dataset:scientific_papers', 'arxiv:2007.14062', 'transformers', 'summarization', 'license:apache-2.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 2,751 |
15,768 |
google/bigbird-pegasus-large-bigpatent
|
google
|
bigbird_pegasus
| 9 | 74,114 |
transformers
| 25 |
summarization
| true | false | false |
apache-2.0
|
['en']
|
['big_patent']
| null | 6 | 6 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bigbird_pegasus', 'text2text-generation', 'en', 'dataset:big_patent', 'arxiv:2007.14062', 'transformers', 'summarization', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,738 |
15,769 |
google/bigbird-pegasus-large-pubmed
|
google
|
bigbird_pegasus
| 9 | 6,467 |
transformers
| 28 |
summarization
| true | false | false |
apache-2.0
|
['en']
|
['scientific_papers']
| null | 11 | 5 | 2 | 4 | 1 | 1 | 0 |
['pytorch', 'bigbird_pegasus', 'text2text-generation', 'en', 'dataset:scientific_papers', 'arxiv:2007.14062', 'transformers', 'summarization', 'license:apache-2.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 2,756 |
15,770 |
google/bigbird-roberta-base
|
google
|
big_bird
| 8 | 24,949 |
transformers
| 37 | null | true | false | true |
apache-2.0
|
['en']
|
['bookcorpus', 'wikipedia', 'cc_news']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'big_bird', 'pretraining', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'dataset:cc_news', 'arxiv:2007.14062', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 2,765 |
15,771 |
google/bigbird-roberta-large
|
google
|
big_bird
| 8 | 1,431 |
transformers
| 11 |
fill-mask
| true | false | true |
apache-2.0
|
['en']
|
['bookcorpus', 'wikipedia', 'cc_news']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'big_bird', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'dataset:cc_news', 'arxiv:2007.14062', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 2,769 |
15,772 |
google/byt5-base
|
google
|
t5
| 9 | 17,219 |
transformers
| 15 |
text2text-generation
| true | true | true |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 't5', '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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:1907.06292', 'arxiv:2105.13626', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,640 |
15,773 |
google/byt5-large
|
google
|
t5
| 9 | 63,428 |
transformers
| 4 |
text2text-generation
| true | true | true |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 't5', '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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:1907.06292', 'arxiv:2105.13626', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,648 |
15,774 |
google/byt5-small
|
google
|
t5
| 9 | 43,096 |
transformers
| 24 |
text2text-generation
| true | true | true |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 2 | 1 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'jax', 't5', '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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:1907.06292', 'arxiv:2105.13626', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,650 |
15,775 |
google/byt5-xl
|
google
|
t5
| 8 | 673 |
transformers
| 8 |
text2text-generation
| true | true | false |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 't5', '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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:1907.06292', 'arxiv:2105.13626', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,624 |
15,776 |
google/byt5-xxl
|
google
|
t5
| 8 | 29 |
transformers
| 7 |
text2text-generation
| true | true | false |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 't5', '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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:1907.06292', 'arxiv:2105.13626', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,632 |
15,777 |
google/canine-c
|
google
|
canine
| 6 | 1,906 |
transformers
| 6 |
feature-extraction
| true | false | false |
apache-2.0
|
['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']
|
['bookcorpus', 'wikipedia']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'canine', 'feature-extraction', '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', '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', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:2103.06874', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 4,560 |
15,778 |
google/canine-s
|
google
|
canine
| 6 | 9,707 |
transformers
| 10 |
feature-extraction
| true | false | false |
apache-2.0
|
['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']
|
['bookcorpus', 'wikipedia']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'canine', 'feature-extraction', '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', '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', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:2103.06874', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 4,700 |
15,779 |
google/electra-base-discriminator
|
google
|
electra
| 10 | 2,613,997 |
transformers
| 30 | null | true | true | true |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'jax', 'rust', 'electra', 'pretraining', 'en', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 2,095 |
15,780 |
google/electra-base-generator
|
google
|
electra
| 10 | 11,006 |
transformers
| 3 |
fill-mask
| true | true | true |
apache-2.0
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'rust', 'electra', 'fill-mask', 'en', 'arxiv:1406.2661', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,618 |
15,781 |
google/electra-large-discriminator
|
google
|
electra
| 9 | 6,959 |
transformers
| 5 | null | true | true | true |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'electra', 'pretraining', 'en', 'arxiv:1406.2661', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 2,097 |
15,782 |
google/electra-large-generator
|
google
|
electra
| 9 | 2,777 |
transformers
| 5 |
fill-mask
| true | true | true |
apache-2.0
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'electra', 'fill-mask', 'en', 'arxiv:1406.2661', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,614 |
15,783 |
google/electra-small-discriminator
|
google
|
electra
| 9 | 372,446 |
transformers
| 18 | null | true | true | true |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'electra', 'pretraining', 'en', 'transformers', 'license:apache-2.0']
| false | true | true | 2,107 |
15,784 |
google/electra-small-generator
|
google
|
electra
| 9 | 5,631 |
transformers
| 5 |
fill-mask
| true | true | true |
apache-2.0
|
['en']
| null | null | 2 | 1 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'jax', 'electra', 'fill-mask', 'en', 'arxiv:1406.2661', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,205 |
15,785 |
google/fnet-base
|
google
|
fnet
| 9 | 898,721 |
transformers
| 12 | null | true | false | false |
apache-2.0
|
['en']
|
['c4']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'rust', 'fnet', 'pretraining', 'en', 'dataset:c4', 'arxiv:2105.03824', 'transformers', 'license:apache-2.0']
| false | true | true | 12,545 |
15,786 |
google/fnet-large
|
google
|
fnet
| 8 | 19 |
transformers
| 3 | null | true | false | false |
apache-2.0
|
['en']
|
['c4']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'fnet', 'pretraining', 'en', 'dataset:c4', 'arxiv:2105.03824', 'transformers', 'license:apache-2.0']
| false | true | true | 9,144 |
15,787 |
google/mobilebert-uncased
|
google
|
mobilebert
| 8 | 124,984 |
transformers
| 16 | null | true | true | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'rust', 'mobilebert', 'pretraining', 'en', 'transformers', 'license:apache-2.0']
| false | true | true | 814 |
15,788 |
google/mt5-base
|
google
|
mt5
| 10 | 55,780 |
transformers
| 81 |
text2text-generation
| true | true | true |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 2 | 1 | 1 | 0 | 4 | 2 | 2 |
['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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:2010.11934', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,246 |
15,789 |
google/mt5-large
|
google
|
mt5
| 10 | 23,423 |
transformers
| 38 |
text2text-generation
| true | true | true |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:2010.11934', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,246 |
15,790 |
google/mt5-small
|
google
|
mt5
| 10 | 41,593 |
transformers
| 48 |
text2text-generation
| true | true | true |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 3 | 1 | 1 | 1 | 1 | 1 | 0 |
['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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:2010.11934', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,246 |
15,791 |
google/mt5-xl
|
google
|
mt5
| 10 | 8,915 |
transformers
| 11 |
text2text-generation
| true | true | true |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:2010.11934', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 2,246 |
15,792 |
google/mt5-xxl
|
google
|
mt5
| 9 | 9,171 |
transformers
| 32 |
text2text-generation
| true | true | false |
apache-2.0
|
['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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', False, 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu']
|
['mc4']
| null | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', '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', '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', 'ml', 'mn', 'mr', 'ms', 'mt', 'my', 'ne', 'nl', 'no', 'ny', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sd', 'si', 'sk', 'sl', 'sm', 'sn', 'so', 'sq', 'sr', 'st', 'su', 'sv', 'sw', 'ta', 'te', 'tg', 'th', 'tr', 'uk', 'und', 'ur', 'uz', 'vi', 'xh', 'yi', 'yo', 'zh', 'zu', 'dataset:mc4', 'arxiv:2010.11934', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,246 |
15,793 |
google/multiberts-seed_0-step_0k
|
google
|
bert
| 8 | 100 |
transformers
| 0 | null | true | true | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'pretraining', 'en', 'arxiv:2106.16163', 'arxiv:1908.08962', 'transformers', 'multiberts', 'multiberts-seed_0', 'multiberts-seed_0-step_0k', 'license:apache-2.0']
| false | true | true | 3,509 |
15,794 |
google/multiberts-seed_0-step_1000k
|
google
|
bert
| 8 | 34 |
transformers
| 0 | null | true | true | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'pretraining', 'en', 'arxiv:2106.16163', 'arxiv:1908.08962', 'transformers', 'multiberts', 'multiberts-seed_0', 'multiberts-seed_0-step_1000k', 'license:apache-2.0']
| false | true | true | 3,527 |
15,795 |
google/multiberts-seed_0-step_100k
|
google
|
bert
| 8 | 39 |
transformers
| 0 | null | true | true | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'pretraining', 'en', 'arxiv:2106.16163', 'arxiv:1908.08962', 'transformers', 'multiberts', 'multiberts-seed_0', 'multiberts-seed_0-step_100k', 'license:apache-2.0']
| false | true | true | 3,521 |
15,796 |
google/multiberts-seed_0-step_1100k
|
google
|
bert
| 8 | 19 |
transformers
| 0 | null | true | true | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'pretraining', 'en', 'arxiv:2106.16163', 'arxiv:1908.08962', 'transformers', 'multiberts', 'multiberts-seed_0', 'multiberts-seed_0-step_1100k', 'license:apache-2.0']
| false | true | true | 3,527 |
15,797 |
google/multiberts-seed_0-step_1200k
|
google
|
bert
| 8 | 22 |
transformers
| 0 | null | true | true | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'pretraining', 'en', 'arxiv:2106.16163', 'arxiv:1908.08962', 'transformers', 'multiberts', 'multiberts-seed_0', 'multiberts-seed_0-step_1200k', 'license:apache-2.0']
| false | true | true | 3,527 |
15,798 |
google/multiberts-seed_0-step_120k
|
google
|
bert
| 8 | 24 |
transformers
| 0 | null | true | true | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'pretraining', 'en', 'arxiv:2106.16163', 'arxiv:1908.08962', 'transformers', 'multiberts', 'multiberts-seed_0', 'multiberts-seed_0-step_120k', 'license:apache-2.0']
| false | true | true | 3,521 |
15,799 |
google/multiberts-seed_0-step_1300k
|
google
|
bert
| 8 | 22 |
transformers
| 0 | null | true | true | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'pretraining', 'en', 'arxiv:2106.16163', 'arxiv:1908.08962', 'transformers', 'multiberts', 'multiberts-seed_0', 'multiberts-seed_0-step_1300k', 'license:apache-2.0']
| false | true | true | 3,527 |
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