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|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
22,800 |
microsoft/deberta-v2-xlarge-mnli
|
microsoft
|
deberta-v2
| 6 | 1,393 |
transformers
| 4 |
text-classification
| true | false | false |
mit
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'text-classification', 'en', 'arxiv:2006.03654', 'transformers', 'deberta', 'deberta-mnli', 'license:mit', 'has_space']
| false | true | true | 3,753 |
22,801 |
microsoft/deberta-v2-xlarge
|
microsoft
|
deberta-v2
| 7 | 199,557 |
transformers
| 13 |
fill-mask
| true | true | false |
mit
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'deberta-v2', 'en', 'arxiv:2006.03654', 'transformers', 'deberta', 'fill-mask', 'license:mit', 'has_space']
| false | true | true | 3,782 |
22,802 |
microsoft/deberta-v2-xxlarge-mnli
|
microsoft
|
deberta-v2
| 7 | 7,524 |
transformers
| 5 |
text-classification
| true | false | false |
mit
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'text-classification', 'en', 'arxiv:2006.03654', 'transformers', 'deberta', 'deberta-mnli', 'license:mit', 'has_space']
| false | true | true | 4,592 |
22,803 |
microsoft/deberta-v2-xxlarge
|
microsoft
|
deberta-v2
| 8 | 2,038 |
transformers
| 17 |
fill-mask
| true | true | false |
mit
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'deberta-v2', 'en', 'arxiv:2006.03654', 'transformers', 'deberta', 'fill-mask', 'license:mit', 'has_space']
| false | true | true | 4,606 |
22,804 |
microsoft/deberta-v3-base
|
microsoft
|
deberta-v2
| 8 | 107,034 |
transformers
| 92 |
fill-mask
| true | true | false |
mit
|
['en']
| null | null | 2 | 1 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'rust', 'deberta-v2', 'en', 'arxiv:2006.03654', 'arxiv:2111.09543', 'transformers', 'deberta', 'deberta-v3', 'fill-mask', 'license:mit', 'has_space']
| false | true | true | 3,325 |
22,805 |
microsoft/deberta-v3-large
|
microsoft
|
deberta-v2
| 9 | 54,250 |
transformers
| 80 |
fill-mask
| true | true | false |
mit
|
['en']
| null | null | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
['pytorch', 'tf', 'deberta-v2', 'en', 'arxiv:2006.03654', 'arxiv:2111.09543', 'transformers', 'deberta', 'deberta-v3', 'fill-mask', 'license:mit', 'has_space']
| false | true | true | 3,119 |
22,806 |
microsoft/deberta-v3-small
|
microsoft
|
deberta-v2
| 7 | 15,490 |
transformers
| 35 |
fill-mask
| true | true | false |
mit
|
['en']
| null | null | 3 | 1 | 1 | 1 | 0 | 0 | 0 |
['pytorch', 'tf', 'deberta-v2', 'en', 'arxiv:2006.03654', 'arxiv:2111.09543', 'transformers', 'deberta', 'deberta-v3', 'fill-mask', 'license:mit', 'has_space']
| false | true | true | 3,438 |
22,807 |
microsoft/deberta-v3-xsmall
|
microsoft
|
deberta-v2
| 9 | 6,792 |
transformers
| 18 |
fill-mask
| true | true | false |
mit
|
['en']
| null | null | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'deberta-v2', 'en', 'arxiv:2006.03654', 'arxiv:2111.09543', 'transformers', 'deberta', 'deberta-v3', 'fill-mask', 'license:mit']
| false | true | true | 3,580 |
22,808 |
microsoft/deberta-xlarge-mnli
|
microsoft
|
deberta
| 9 | 76,014 |
transformers
| 13 |
text-classification
| true | true | false |
mit
|
['en']
| null | null | 2 | 1 | 1 | 0 | 2 | 2 | 0 |
['pytorch', 'tf', 'deberta', 'text-classification', 'en', 'arxiv:2006.03654', 'transformers', 'deberta-v1', 'deberta-mnli', 'license:mit', 'has_space']
| false | true | true | 3,703 |
22,809 |
microsoft/deberta-xlarge-v2-mnli
|
microsoft
|
deberta-v2
| 6 | 9 |
transformers
| 0 | null | true | false | false |
mit
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'en', 'transformers', 'deberta', 'license:mit']
| false | true | true | 188 |
22,810 |
microsoft/deberta-xlarge-v2
|
microsoft
|
deberta-v2
| 6 | 51 |
transformers
| 0 | null | true | false | false |
mit
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'en', 'transformers', 'deberta', 'license:mit']
| false | true | true | 178 |
22,811 |
microsoft/deberta-xlarge
|
microsoft
|
deberta
| 9 | 323 |
transformers
| 2 |
fill-mask
| true | true | false |
mit
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'deberta', 'en', 'arxiv:2006.03654', 'transformers', 'deberta-v1', 'fill-mask', 'license:mit']
| false | true | true | 3,751 |
22,812 |
microsoft/deberta-xxlarge-v2-mnli
|
microsoft
|
deberta-v2
| 6 | 23 |
transformers
| 0 | null | true | false | false |
mit
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'en', 'transformers', 'deberta', 'license:mit']
| false | true | true | 190 |
22,813 |
microsoft/deberta-xxlarge-v2
|
microsoft
|
deberta-v2
| 6 | 847 |
transformers
| 0 | null | true | false | false |
mit
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'en', 'transformers', 'deberta', 'license:mit']
| false | true | true | 180 |
22,814 |
microsoft/graphcodebert-base
|
microsoft
|
roberta
| 10 | 137,321 |
transformers
| 18 |
fill-mask
| true | true | true | null | null | null | null | 3 | 2 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'roberta', 'fill-mask', 'arxiv:2009.08366', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | true | 730 |
22,815 |
microsoft/infoxlm-base
|
microsoft
|
xlm-roberta
| 6 | 9,201 |
transformers
| 5 |
fill-mask
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'fill-mask', 'arxiv:2007.07834', 'transformers', 'autotrain_compatible']
| false | false | true | 1,246 |
22,816 |
microsoft/infoxlm-large
|
microsoft
|
xlm-roberta
| 6 | 701,189 |
transformers
| 7 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'fill-mask', 'arxiv:2007.07834', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | true | 1,246 |
22,817 |
microsoft/layoutlm-base-cased
|
microsoft
|
layoutlm
| 9 | 3,153 |
transformers
| 12 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'layoutlm', 'arxiv:1912.13318', 'transformers']
| false | false | true | 1,443 |
22,818 |
microsoft/layoutlm-base-uncased
|
microsoft
|
layoutlm
| 10 | 3,024,453 |
transformers
| 23 | null | true | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
['pytorch', 'tf', 'layoutlm', 'arxiv:1912.13318', 'transformers', 'has_space']
| false | false | true | 1,500 |
22,819 |
microsoft/layoutlm-large-uncased
|
microsoft
|
layoutlm
| 9 | 521 |
transformers
| 6 | null | true | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'layoutlm', 'arxiv:1912.13318', 'transformers']
| false | false | true | 1,497 |
22,820 |
microsoft/layoutlmv2-base-uncased
|
microsoft
|
layoutlmv2
| 6 | 127,297 |
transformers
| 35 | null | true | false | false |
cc-by-nc-sa-4.0
|
['en']
| null | null | 3 | 0 | 1 | 2 | 1 | 1 | 0 |
['pytorch', 'layoutlmv2', 'en', 'arxiv:2012.14740', 'transformers', 'license:cc-by-nc-sa-4.0', 'has_space']
| false | true | true | 1,172 |
22,821 |
microsoft/layoutlmv2-large-uncased
|
microsoft
|
layoutlmv2
| 6 | 16,006 |
transformers
| 6 | null | true | false | false |
cc-by-nc-sa-4.0
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'layoutlmv2', 'en', 'arxiv:2012.14740', 'transformers', 'license:cc-by-nc-sa-4.0']
| false | true | true | 875 |
22,822 |
microsoft/layoutxlm-base
|
microsoft
|
layoutlmv2
| 8 | 91,822 |
transformers
| 36 | null | true | false | false |
cc-by-nc-sa-4.0
| null | null | null | 3 | 0 | 2 | 1 | 0 | 0 | 0 |
['pytorch', 'layoutlmv2', 'arxiv:2104.08836', 'transformers', 'license:cc-by-nc-sa-4.0']
| false | true | true | 1,004 |
22,823 |
microsoft/markuplm-base
|
microsoft
|
markuplm
| 11 | 111,813 |
transformers
| 10 | null | true | false | false | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'markuplm', 'en', 'arxiv:2110.08518', 'transformers', 'has_space']
| false | true | true | 871 |
22,824 |
microsoft/markuplm-large
|
microsoft
|
markuplm
| 11 | 357 |
transformers
| 10 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'markuplm', 'en', 'arxiv:2110.08518', 'transformers']
| false | true | true | 861 |
22,825 |
microsoft/mdeberta-v3-base
|
microsoft
|
deberta-v2
| 9 | 72,438 |
transformers
| 79 |
fill-mask
| true | true | false |
mit
|
['multilingual', 'en', 'ar', 'bg', 'de', 'el', 'es', 'fr', 'hi', 'ru', 'sw', 'th', 'tr', 'ur', 'vi', 'zh']
| null | null | 2 | 0 | 2 | 0 | 2 | 1 | 1 |
['pytorch', 'tf', 'deberta-v2', 'multilingual', 'en', 'ar', 'bg', 'de', 'el', 'es', 'fr', 'hi', 'ru', 'sw', 'th', 'tr', 'ur', 'vi', 'zh', 'arxiv:2006.03654', 'arxiv:2111.09543', 'transformers', 'deberta', 'deberta-v3', 'mdeberta', 'fill-mask', 'license:mit', 'has_space']
| false | true | true | 3,405 |
22,826 |
microsoft/mpnet-base
|
microsoft
|
mpnet
| 6 | 33,309 |
transformers
| 19 |
fill-mask
| true | true | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'mpnet', 'fill-mask', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | false | 0 |
22,827 |
microsoft/prophetnet-large-uncased-cnndm
|
microsoft
|
prophetnet
| 10 | 435 |
transformers
| 1 |
text2text-generation
| true | false | false | null |
['en']
|
['cnn_dailymail']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'rust', 'prophetnet', 'text2text-generation', 'en', 'dataset:cnn_dailymail', 'arxiv:2001.04063', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 2,523 |
22,828 |
microsoft/prophetnet-large-uncased-squad-qg
|
microsoft
|
prophetnet
| 8 | 722 |
transformers
| 4 |
text2text-generation
| true | false | false | null |
['en']
|
['squad']
| null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'prophetnet', 'text2text-generation', 'en', 'dataset:squad', 'arxiv:2001.04063', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 1,661 |
22,829 |
microsoft/prophetnet-large-uncased
|
microsoft
|
prophetnet
| 11 | 7,635 |
transformers
| 3 |
text2text-generation
| true | false | false | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'rust', 'safetensors', 'prophetnet', 'text2text-generation', 'en', 'arxiv:2001.04063', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 1,655 |
22,830 |
microsoft/ssr-base
|
microsoft
|
t5
| 8 | 67 |
transformers
| 0 |
summarization
| true | false | false | null |
['en']
|
['c4']
| null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:c4', 'arxiv:2101.00416', 'transformers', 'summarization', 'autotrain_compatible']
| false | true | true | 160 |
22,831 |
microsoft/swin-base-patch4-window12-384-in22k
|
microsoft
|
swin
| 6 | 1,076 |
transformers
| 0 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-21k']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-21k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,330 |
22,832 |
microsoft/swin-base-patch4-window12-384
|
microsoft
|
swin
| 6 | 1,027 |
transformers
| 2 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-1k']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-1k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,276 |
22,833 |
microsoft/swin-base-patch4-window7-224-in22k
|
microsoft
|
swin
| 7 | 2,039 |
transformers
| 8 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-21k']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'safetensors', 'swin', 'image-classification', 'dataset:imagenet-21k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,308 |
22,834 |
microsoft/swin-base-patch4-window7-224
|
microsoft
|
swin
| 6 | 3,661 |
transformers
| 3 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-1k']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-1k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,274 |
22,835 |
microsoft/swin-large-patch4-window12-384-in22k
|
microsoft
|
swin
| 6 | 7,626 |
transformers
| 3 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-21k']
| null | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-21k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,332 |
22,836 |
microsoft/swin-large-patch4-window12-384
|
microsoft
|
swin
| 6 | 33 |
transformers
| 1 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-1k']
| null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-1k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,280 |
22,837 |
microsoft/swin-large-patch4-window7-224-in22k
|
microsoft
|
swin
| 6 | 27 |
transformers
| 1 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-21k']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-21k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,330 |
22,838 |
microsoft/swin-large-patch4-window7-224
|
microsoft
|
swin
| 6 | 100 |
transformers
| 0 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-1k']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-1k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,277 |
22,839 |
microsoft/swin-small-patch4-window7-224
|
microsoft
|
swin
| 6 | 166 |
transformers
| 0 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-1k']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-1k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,277 |
22,840 |
microsoft/swin-tiny-patch4-window7-224
|
microsoft
|
swin
| 6 | 26,990 |
transformers
| 14 |
image-classification
| true | true | false |
apache-2.0
| null |
['imagenet-1k']
| null | 2 | 2 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'swin', 'image-classification', 'dataset:imagenet-1k', 'arxiv:2103.14030', 'transformers', 'vision', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,264 |
22,841 |
microsoft/tapex-base-finetuned-tabfact
|
microsoft
|
bart
| 8 | 35 |
transformers
| 0 |
text-classification
| true | false | false |
mit
|
['en']
|
['tab_fact']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text-classification', 'en', 'dataset:tab_fact', 'arxiv:2107.07653', 'transformers', 'tapex', 'license:mit']
| false | true | true | 2,477 |
22,842 |
microsoft/tapex-base-finetuned-wikisql
|
microsoft
|
bart
| 12 | 804 |
transformers
| 3 |
table-question-answering
| true | false | false |
mit
|
['en']
|
['wikisql']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:wikisql', 'arxiv:2107.07653', 'transformers', 'tapex', 'table-question-answering', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,054 |
22,843 |
microsoft/tapex-base
|
microsoft
|
bart
| 9 | 629 |
transformers
| 19 |
table-question-answering
| true | false | false |
mit
|
['en']
| null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bart', 'text2text-generation', 'en', 'arxiv:2107.07653', 'transformers', 'tapex', 'table-question-answering', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,701 |
22,844 |
microsoft/tapex-large-finetuned-tabfact
|
microsoft
|
bart
| 8 | 366 |
transformers
| 3 |
text-classification
| true | false | false |
mit
|
['en']
|
['tab_fact']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text-classification', 'en', 'dataset:tab_fact', 'arxiv:2107.07653', 'transformers', 'tapex', 'table-question-answering', 'license:mit']
| false | true | true | 2,480 |
22,845 |
microsoft/trocr-base-handwritten
|
microsoft
|
vision-encoder-decoder
| 10 | 423,799 |
transformers
| 53 |
image-to-text
| true | false | false | null | null | null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,515 |
22,846 |
microsoft/trocr-base-printed
|
microsoft
|
vision-encoder-decoder
| 10 | 21,886 |
transformers
| 84 |
image-to-text
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 4 | 4 | 0 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,537 |
22,847 |
microsoft/trocr-base-stage1
|
microsoft
|
vision-encoder-decoder
| 10 | 1,954 |
transformers
| 5 |
image-to-text
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,479 |
22,848 |
microsoft/trocr-large-handwritten
|
microsoft
|
vision-encoder-decoder
| 10 | 8,002 |
transformers
| 25 |
image-to-text
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 2 | 2 | 0 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,518 |
22,849 |
microsoft/trocr-large-printed
|
microsoft
|
vision-encoder-decoder
| 10 | 28,150 |
transformers
| 17 |
image-to-text
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,540 |
22,850 |
microsoft/trocr-large-stage1
|
microsoft
|
vision-encoder-decoder
| 12 | 1,605 |
transformers
| 6 |
image-to-text
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,482 |
22,851 |
microsoft/trocr-small-handwritten
|
microsoft
|
vision-encoder-decoder
| 9 | 32,367 |
transformers
| 13 |
image-to-text
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,375 |
22,852 |
microsoft/trocr-small-printed
|
microsoft
|
vision-encoder-decoder
| 9 | 5,289 |
transformers
| 13 |
image-to-text
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 2 | 2 | 0 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,397 |
22,853 |
microsoft/trocr-small-stage1
|
microsoft
|
vision-encoder-decoder
| 9 | 10,762 |
transformers
| 3 |
image-to-text
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'vision-encoder-decoder', 'arxiv:2109.10282', 'transformers', 'trocr', 'image-to-text', 'has_space']
| false | true | true | 2,352 |
22,854 |
microsoft/unihanlm-base
|
microsoft
|
xlm
| 9 | 14 |
transformers
| 2 |
feature-extraction
| true | true | false |
apache-2.0
|
['zh', 'ja']
|
['Wikipedia']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'xlm', 'feature-extraction', 'zh', 'ja', 'dataset:Wikipedia', 'transformers', 'crosslingual', 'license:apache-2.0']
| false | true | true | 2,440 |
22,855 |
microsoft/unilm-base-cased
|
microsoft
| null | 4 | 46 |
transformers
| 3 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 2 | 2 | 0 |
['pytorch', 'transformers']
| false | false | false | 0 |
22,856 |
microsoft/unilm-large-cased
|
microsoft
| null | 4 | 26 |
transformers
| 4 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'transformers']
| false | false | false | 0 |
22,857 |
microsoft/unispeech-1350-en-168-es-ft-1h
|
microsoft
|
unispeech
| 8 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false | null |
['es']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech', 'automatic-speech-recognition', 'es', 'dataset:common_voice', 'arxiv:2101.07597', 'transformers', 'audio']
| false | true | true | 3,181 |
22,858 |
microsoft/unispeech-1350-en-17h-ky-ft-1h
|
microsoft
|
unispeech
| 8 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false | null |
['ky']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech', 'automatic-speech-recognition', 'ky', 'dataset:common_voice', 'arxiv:2101.07597', 'transformers', 'audio']
| false | true | true | 3,057 |
22,859 |
microsoft/unispeech-1350-en-353-fr-ft-1h
|
microsoft
|
unispeech
| 8 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false | null |
['fr']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech', 'automatic-speech-recognition', 'fr', 'dataset:common_voice', 'arxiv:2101.07597', 'transformers', 'audio']
| false | true | true | 3,224 |
22,860 |
microsoft/unispeech-1350-en-90-it-ft-1h
|
microsoft
|
unispeech
| 11 | 7 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false | null |
['it']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech', 'automatic-speech-recognition', 'it', 'dataset:common_voice', 'arxiv:2101.07597', 'transformers', 'audio']
| false | true | true | 5,956 |
22,861 |
microsoft/unispeech-large-1500h-cv
|
microsoft
|
unispeech
| 5 | 16,901 |
transformers
| 1 | null | true | false | false | null |
['en']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech', 'pretraining', 'en', 'dataset:common_voice', 'arxiv:2101.07597', 'transformers', 'speech']
| false | true | true | 3,359 |
22,862 |
microsoft/unispeech-large-fr-ft
|
microsoft
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,863 |
microsoft/unispeech-large-multi-lingual-1500h-cv
|
microsoft
|
unispeech
| 5 | 8 |
transformers
| 1 | null | true | false | false | null |
['it', 'en', 'fr', 'es']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech', 'pretraining', 'it', 'en', 'fr', 'es', 'dataset:common_voice', 'arxiv:2101.07597', 'transformers', 'speech']
| false | true | true | 3,442 |
22,864 |
microsoft/unispeech-sat-base-100h-libri-ft
|
microsoft
|
unispeech-sat
| 8 | 654 |
transformers
| 3 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['en']
|
['librispeech_asr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'automatic-speech-recognition', 'en', 'dataset:librispeech_asr', 'arxiv:2110.05752', 'transformers', 'audio', 'license:apache-2.0']
| false | true | true | 3,525 |
22,865 |
microsoft/unispeech-sat-base-plus-sd
|
microsoft
|
unispeech-sat
| 5 | 139 |
transformers
| 0 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'audio-frame-classification', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.05752', 'transformers', 'speech']
| false | true | true | 3,550 |
22,866 |
microsoft/unispeech-sat-base-plus-sv
|
microsoft
|
unispeech-sat
| 5 | 7,581 |
transformers
| 0 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'audio-xvector', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.05752', 'transformers', 'speech', 'has_space']
| false | true | true | 3,906 |
22,867 |
microsoft/unispeech-sat-base-plus
|
microsoft
|
unispeech-sat
| 5 | 226 |
transformers
| 0 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'pretraining', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.05752', 'transformers', 'speech']
| false | true | true | 4,174 |
22,868 |
microsoft/unispeech-sat-base-sd
|
microsoft
|
unispeech-sat
| 5 | 14 |
transformers
| 0 | null | true | false | false | null |
['en']
|
['librispeech_asr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'audio-frame-classification', 'en', 'dataset:librispeech_asr', 'arxiv:2110.05752', 'transformers', 'speech', 'has_space']
| false | true | true | 3,423 |
22,869 |
microsoft/unispeech-sat-base-sv
|
microsoft
|
unispeech-sat
| 5 | 98 |
transformers
| 0 | null | true | false | false | null |
['en']
|
['librispeech_asr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'audio-xvector', 'en', 'dataset:librispeech_asr', 'arxiv:2110.05752', 'transformers', 'speech']
| false | true | true | 3,779 |
22,870 |
microsoft/unispeech-sat-base
|
microsoft
|
unispeech-sat
| 5 | 4,395 |
transformers
| 0 | null | true | false | false | null |
['en']
|
['librispeech_asr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'pretraining', 'en', 'dataset:librispeech_asr', 'arxiv:2110.05752', 'transformers', 'speech']
| false | true | true | 4,057 |
22,871 |
microsoft/unispeech-sat-large-sd
|
microsoft
|
unispeech-sat
| 5 | 14 |
transformers
| 1 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'unispeech-sat', 'audio-frame-classification', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.05752', 'transformers', 'speech']
| false | true | true | 3,543 |
22,872 |
microsoft/unispeech-sat-large-sv
|
microsoft
|
unispeech-sat
| 5 | 24,995 |
transformers
| 3 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'audio-xvector', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.05752', 'transformers', 'speech', 'has_space']
| false | true | true | 3,899 |
22,873 |
microsoft/unispeech-sat-large
|
microsoft
|
unispeech-sat
| 5 | 238 |
transformers
| 1 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'unispeech-sat', 'pretraining', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.05752', 'transformers', 'speech']
| false | true | true | 4,176 |
22,874 |
microsoft/wavlm-base-plus-sd
|
microsoft
|
wavlm
| 5 | 1,450 |
transformers
| 4 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wavlm', 'audio-frame-classification', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.13900', 'transformers', 'speech']
| false | true | true | 3,256 |
22,875 |
microsoft/wavlm-base-plus-sv
|
microsoft
|
wavlm
| 5 | 24,184 |
transformers
| 9 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wavlm', 'audio-xvector', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.13900', 'transformers', 'speech', 'has_space']
| false | true | true | 4,014 |
22,876 |
microsoft/wavlm-base-plus
|
microsoft
|
wavlm
| 5 | 16,972 |
transformers
| 7 |
feature-extraction
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wavlm', 'feature-extraction', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.13900', 'transformers', 'speech']
| false | true | true | 3,839 |
22,877 |
microsoft/wavlm-base-sd
|
microsoft
|
wavlm
| 5 | 9 |
transformers
| 0 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wavlm', 'audio-frame-classification', 'en', 'arxiv:2110.13900', 'transformers', 'speech']
| false | true | true | 3,116 |
22,878 |
microsoft/wavlm-base-sv
|
microsoft
|
wavlm
| 5 | 3,256 |
transformers
| 0 | null | true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wavlm', 'audio-xvector', 'en', 'arxiv:2110.13900', 'transformers', 'speech']
| false | true | true | 3,469 |
22,879 |
microsoft/wavlm-base
|
microsoft
|
wavlm
| 5 | 17,940 |
transformers
| 1 |
feature-extraction
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wavlm', 'feature-extraction', 'en', 'arxiv:2110.13900', 'transformers', 'speech']
| false | true | true | 3,709 |
22,880 |
microsoft/wavlm-large
|
microsoft
|
wavlm
| 5 | 461,956 |
transformers
| 28 |
feature-extraction
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wavlm', 'feature-extraction', 'en', 'arxiv:1912.07875', 'arxiv:2106.06909', 'arxiv:2101.00390', 'arxiv:2110.13900', 'transformers', 'speech', 'has_space']
| false | true | true | 3,836 |
22,881 |
microsoft/xlm-align-base
|
microsoft
|
xlm-roberta
| 6 | 264 |
transformers
| 7 |
fill-mask
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'fill-mask', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | true | 1,895 |
22,882 |
microsoft/xprophetnet-large-wiki100-cased-xglue-ntg
|
microsoft
|
xlm-prophetnet
| 9 | 1,533 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-prophetnet', 'text2text-generation', 'arxiv:2001.04063', 'arxiv:2004.01401', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | true | 2,829 |
22,883 |
microsoft/xprophetnet-large-wiki100-cased-xglue-qg
|
microsoft
|
xlm-prophetnet
| 9 | 16 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-prophetnet', 'text2text-generation', 'arxiv:2001.04063', 'arxiv:2004.01401', 'transformers', 'autotrain_compatible']
| false | false | true | 1,871 |
22,884 |
microsoft/xprophetnet-large-wiki100-cased
|
microsoft
|
xlm-prophetnet
| 9 | 481 |
transformers
| 0 |
text2text-generation
| true | false | false | null |
['multilingual']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-prophetnet', 'text2text-generation', 'multilingual', 'arxiv:2001.04063', 'arxiv:2004.01401', 'transformers', 'autotrain_compatible']
| false | true | true | 2,133 |
22,885 |
microsoft/xtremedistil-l12-h384-uncased
|
microsoft
|
bert
| 7 | 1,580 |
transformers
| 8 |
text-classification
| true | true | false |
mit
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'feature-extraction', 'en', 'arxiv:2106.04563', 'transformers', 'text-classification', 'license:mit']
| false | true | true | 2,816 |
22,886 |
microsoft/xtremedistil-l6-h256-uncased
|
microsoft
|
bert
| 7 | 18,619 |
transformers
| 22 |
text-classification
| true | true | false |
mit
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'feature-extraction', 'en', 'arxiv:2106.04563', 'transformers', 'text-classification', 'license:mit']
| false | true | true | 2,817 |
22,887 |
microsoft/xtremedistil-l6-h384-uncased
|
microsoft
|
bert
| 8 | 1,702 |
transformers
| 22 |
text-classification
| true | true | true |
mit
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'feature-extraction', 'en', 'arxiv:2106.04563', 'transformers', 'text-classification', 'license:mit']
| false | true | true | 2,816 |
22,888 |
mictiong85/wav2vec2-base-timit-demo-colab
|
mictiong85
|
wav2vec2
| 12 | 8 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'transformers', 'generated_from_trainer', 'license:apache-2.0']
| true | true | true | 1,640 |
22,889 |
midas/gupshup_e2e_bart
|
midas
|
bart
| 8 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
22,890 |
midas/gupshup_e2e_gpt
|
midas
|
gpt2
| 6 | 10 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'arxiv:1910.04073', 'transformers']
| false | false | true | 5,682 |
22,891 |
midas/gupshup_e2e_mbart
|
midas
|
mbart
| 9 | 9 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mbart', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
22,892 |
midas/gupshup_e2e_pegasus
|
midas
|
pegasus
| 7 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'pegasus', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
22,893 |
midas/gupshup_e2e_t5
|
midas
|
t5
| 8 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
22,894 |
midas/gupshup_h2e_bart
|
midas
|
bart
| 8 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
22,895 |
midas/gupshup_h2e_gpt
|
midas
|
gpt2
| 6 | 10 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'arxiv:1910.04073', 'transformers']
| false | false | true | 5,682 |
22,896 |
midas/gupshup_h2e_mbart
|
midas
|
mbart
| 7 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mbart', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
22,897 |
midas/gupshup_h2e_pegasus
|
midas
|
pegasus
| 7 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'pegasus', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
22,898 |
midas/gupshup_h2e_t5
|
midas
|
t5
| 9 | 45 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
22,899 |
midas/gupshup_h2e_t5_mtl
|
midas
|
t5
| 7 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'arxiv:1910.04073', 'transformers', 'autotrain_compatible']
| false | false | true | 5,682 |
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