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|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23,500 |
mrm8488/gpt2-finetuned-reddit-tifu
|
mrm8488
|
gpt2
| 9 | 13 |
transformers
| 1 |
text-generation
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
23,501 |
mrm8488/gpt2-imdb-neg
|
mrm8488
|
gpt2
| 8 | 5 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'transformers']
| false | false | true | 1,963 |
23,502 |
mrm8488/gpt2-imdb-neutral
|
mrm8488
|
gpt2
| 8 | 5 |
transformers
| 1 | null | true | false | false |
mit
|
['en']
|
['imdb']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'en', 'dataset:imdb', 'transformers', 'GPT-2', 'license:mit']
| false | true | true | 2,503 |
23,503 |
mrm8488/gpt2-oscar-es
|
mrm8488
| null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,504 |
mrm8488/layoutlm-finetuned-funsd
|
mrm8488
|
layoutlm
| 8 | 72 |
transformers
| 2 |
token-classification
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'layoutlm', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | true | 6,939 |
23,505 |
mrm8488/legalectra-base-spanish
|
mrm8488
|
electra
| 5 | 17 |
transformers
| 3 | null | true | false | false | null |
['es']
|
['Spanish-legal-corpora']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'es', 'dataset:Spanish-legal-corpora', 'arxiv:1406.2661', 'transformers', 'Spanish', 'Electra', 'Legal']
| false | true | true | 1,543 |
23,506 |
mrm8488/legalectra-small-spanish
|
mrm8488
|
electra
| 5 | 25 |
transformers
| 3 | null | true | false | false | null |
['es']
|
['Spanish-legal-corpora']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'es', 'dataset:Spanish-legal-corpora', 'arxiv:1406.2661', 'transformers', 'Spanish', 'Electra', 'Legal']
| false | true | true | 1,977 |
23,507 |
mrm8488/longformer-base-4096-finetuned-squadv2
|
mrm8488
|
longformer
| 10 | 6,857 |
transformers
| 9 |
question-answering
| true | true | false | null |
['en']
|
['squad_v2']
| null | 3 | 0 | 3 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'longformer', 'question-answering', 'en', 'dataset:squad_v2', 'arxiv:2004.05150', 'transformers', 'QA', 'long context', 'Q&A', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 3,388 |
23,508 |
mrm8488/longformer-base-4096-spanish-finetuned-squad
|
mrm8488
|
roberta
| 12 | 333 |
transformers
| 3 |
question-answering
| true | false | false | null |
['es']
|
['BSC-TeMU/SQAC']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'es', 'dataset:BSC-TeMU/SQAC', 'transformers', 'Long documents', 'LongFormer', 'QA', 'Q&A', 'autotrain_compatible']
| false | true | true | 3,229 |
23,509 |
mrm8488/longformer-base-4096-spanish
|
mrm8488
|
roberta
| 13 | 55 |
transformers
| 12 |
fill-mask
| true | false | false |
mit
|
['es']
|
['spanish_large_corpus']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'roberta', 'fill-mask', 'es', 'dataset:spanish_large_corpus', 'arxiv:2004.05150', 'transformers', 'Long documents', 'longformer', 'bertin', 'spanish', 'license:mit', 'autotrain_compatible']
| false | true | true | 1,060 |
23,510 |
mrm8488/mT5-small-finetuned-multi-question-generation
|
mrm8488
|
t5
| 7 | 18 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,511 |
mrm8488/mT5-small-finetuned-tydiqa-for-xqa
|
mrm8488
|
t5
| 8 | 111 |
transformers
| 2 |
text2text-generation
| true | false | false | null |
['multilingual']
|
['tydiqa']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'multilingual', 'dataset:tydiqa', 'arxiv:2010.11934', 'transformers', 'autotrain_compatible']
| false | true | true | 4,510 |
23,512 |
mrm8488/mbart-large-finetuned-bible-es-en-translation
|
mrm8488
|
mbart
| 8 | 52 |
transformers
| 1 |
translation
| true | false | false | null |
['es', 'en']
|
['bible_para']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'mbart', 'text2text-generation', 'es', 'en', 'dataset:bible_para', 'transformers', 'translation', 'autotrain_compatible']
| false | true | true | 133 |
23,513 |
mrm8488/mbart-large-finetuned-opus-en-es-translation
|
mrm8488
|
mbart
| 10 | 144 |
transformers
| 4 |
translation
| true | false | false | null |
['en', 'es']
|
['opus100']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'mbart', 'text2text-generation', 'en', 'es', 'dataset:opus100', 'transformers', 'translation', 'autotrain_compatible']
| false | true | true | 145 |
23,514 |
mrm8488/mbart-large-finetuned-opus-es-en-translation
|
mrm8488
|
mbart
| 9 | 31 |
transformers
| 1 |
translation
| true | false | false | null |
['es', 'en']
|
['opus100']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'mbart', 'text2text-generation', 'es', 'en', 'dataset:opus100', 'transformers', 'translation', 'autotrain_compatible']
| false | true | true | 195 |
23,515 |
mrm8488/mbart-large-finetuned-opus-it-en-translation
|
mrm8488
|
mbart
| 9 | 50 |
transformers
| 1 |
translation
| true | false | false | null |
['it', 'en']
|
['opus100']
| null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mbart', 'text2text-generation', 'it', 'en', 'dataset:opus100', 'transformers', 'translation', 'autotrain_compatible']
| false | true | true | 144 |
23,516 |
mrm8488/mobilebert-finetuned-ner
|
mrm8488
|
mobilebert
| 9 | 154 |
transformers
| 0 |
token-classification
| true | false | false |
mit
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mobilebert', 'token-classification', 'en', 'transformers', 'ner', 'license:mit', 'autotrain_compatible']
| false | true | true | 1 |
23,517 |
mrm8488/mobilebert-finetuned-pos
|
mrm8488
|
mobilebert
| 11 | 3,666 |
transformers
| 4 |
token-classification
| true | false | false |
mit
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'rust', 'safetensors', 'mobilebert', 'token-classification', 'en', 'transformers', 'pos', 'license:mit', 'autotrain_compatible']
| false | true | true | 1 |
23,518 |
mrm8488/mobilebert-uncased-finetuned-squadv1
|
mrm8488
|
mobilebert
| 11 | 8 |
transformers
| 0 |
question-answering
| true | false | false | null |
['en']
|
['squad']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'mobilebert', 'question-answering', 'en', 'dataset:squad', 'arxiv:2004.02984', 'transformers', 'autotrain_compatible']
| false | true | true | 2,668 |
23,519 |
mrm8488/mobilebert-uncased-finetuned-squadv2
|
mrm8488
|
mobilebert
| 11 | 128 |
transformers
| 1 |
question-answering
| true | false | false | null |
['en']
|
['squad_v2']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'mobilebert', 'question-answering', 'en', 'dataset:squad_v2', 'arxiv:2004.02984', 'transformers', 'autotrain_compatible']
| false | true | true | 2,639 |
23,520 |
mrm8488/ppo-BipedalWalker-v3
|
mrm8488
| null | 4 | 0 | null | 2 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | true | 1,651 |
23,521 |
mrm8488/ppo-CartPole-v1
|
mrm8488
| null | 4 | 0 | null | 1 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | true | 1,615 |
23,522 |
mrm8488/ppo-LunarLander-v2
|
mrm8488
| null | 5 | 0 | null | 3 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | true | 1,493 |
23,523 |
mrm8488/prunebert-base-uncased-finepruned-topK-squadv2
|
mrm8488
|
masked_bert
| 11 | 13 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'masked_bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,524 |
mrm8488/prunebert-multi-uncased-finepruned-l0-reg-tydiqa-for-xqa
|
mrm8488
|
masked_bert
| 10 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'masked_bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,525 |
mrm8488/prunebert-multi-uncased-finepruned-magnitude-tydiqa-for-xqa
|
mrm8488
|
masked_bert
| 8 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'masked_bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,526 |
mrm8488/prunebert-multi-uncased-finepruned-soft-movement-tydiqa-for-xqa
|
mrm8488
|
masked_bert
| 10 | 16 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'masked_bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,527 |
mrm8488/prunebert-multi-uncased-finepruned-topK-tydiqa-for-xqa
|
mrm8488
|
masked_bert
| 10 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'masked_bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,528 |
mrm8488/prunebert-multi-uncased-finepruned-tydiqa-for-xqa
|
mrm8488
|
masked_bert
| 9 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'masked_bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,529 |
mrm8488/roberta-base-1B-1-finetuned-squadv1
|
mrm8488
|
roberta
| 12 | 10 |
transformers
| 0 |
question-answering
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'question-answering', 'en', 'transformers', 'autotrain_compatible']
| false | true | true | 2,951 |
23,530 |
mrm8488/roberta-base-1B-1-finetuned-squadv2
|
mrm8488
|
roberta
| 12 | 20 |
transformers
| 0 |
question-answering
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'question-answering', 'en', 'transformers', 'autotrain_compatible']
| false | true | true | 3,326 |
23,531 |
mrm8488/roberta-base-biomedical-spanish-diagnostics
|
mrm8488
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,532 |
mrm8488/roberta-base-bne-finetuned-sqac-retriever
|
mrm8488
|
roberta
| 13 | 11 |
sentence-transformers
| 1 |
sentence-similarity
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers']
| false | true | true | 3,595 |
23,533 |
mrm8488/roberta-base-bne-finetuned-sqac
|
mrm8488
|
roberta
| 13 | 10 |
transformers
| 1 |
question-answering
| true | false | false |
apache-2.0
|
['es']
|
['sqac']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'roberta', 'question-answering', 'es', 'dataset:sqac', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 1,274 |
23,534 |
mrm8488/roberta-base-finetuned-multitask
|
mrm8488
| null | 7 | 7 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'transformers']
| false | false | false | 0 |
23,535 |
mrm8488/roberta-large-finetuned-wsc
|
mrm8488
|
roberta
| 6 | 12 |
transformers
| 0 |
fill-mask
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'arxiv:1905.06290', 'transformers', 'autotrain_compatible']
| false | false | true | 5,852 |
23,536 |
mrm8488/roberta-med-small2roberta-med-small-finetuned-cnn_daily_mail-summarization
|
mrm8488
|
encoder-decoder
| 10 | 58 |
transformers
| 1 |
summarization
| true | false | false |
apache-2.0
|
['en']
|
['cnn_dailymail']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'encoder-decoder', 'text2text-generation', 'en', 'dataset:cnn_dailymail', 'transformers', 'summarization', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 339 |
23,537 |
mrm8488/roberta-med-small_shared-finetuned-bbc_xsum-summarization
|
mrm8488
|
encoder-decoder
| 10 | 27 |
transformers
| 1 |
summarization
| true | false | false |
apache-2.0
|
['en']
|
['xsum']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'encoder-decoder', 'text2text-generation', 'en', 'dataset:xsum', 'transformers', 'summarization', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 196 |
23,538 |
mrm8488/scibert_scivocab-finetuned-CORD19
|
mrm8488
|
bert
| 10 | 12 |
transformers
| 0 |
fill-mask
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,539 |
mrm8488/spanbert-base-finetuned-squadv1
|
mrm8488
|
bert
| 5 | 5 |
transformers
| 0 | null | true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'en', 'arxiv:1907.10529', 'transformers']
| false | true | true | 2,929 |
23,540 |
mrm8488/spanbert-base-finetuned-squadv2
|
mrm8488
|
bert
| 5 | 5 |
transformers
| 0 | null | true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'en', 'arxiv:1907.10529', 'transformers']
| false | true | true | 3,366 |
23,541 |
mrm8488/spanbert-base-finetuned-tacred
|
mrm8488
|
bert
| 8 | 27 |
transformers
| 0 |
feature-extraction
| true | false | true | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'feature-extraction', 'en', 'arxiv:1907.10529', 'transformers']
| false | true | true | 2,292 |
23,542 |
mrm8488/spanbert-finetuned-squadv1
|
mrm8488
|
bert
| 10 | 33 |
transformers
| 0 |
question-answering
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'question-answering', 'en', 'arxiv:1907.10529', 'transformers', 'autotrain_compatible']
| false | true | true | 2,601 |
23,543 |
mrm8488/spanbert-finetuned-squadv2
|
mrm8488
|
bert
| 11 | 40 |
transformers
| 3 |
question-answering
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'question-answering', 'en', 'arxiv:1907.10529', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 2,905 |
23,544 |
mrm8488/spanbert-large-finetuned-squadv1
|
mrm8488
|
bert
| 5 | 10,951 |
transformers
| 0 | null | true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'en', 'arxiv:1907.10529', 'transformers']
| false | true | true | 2,933 |
23,545 |
mrm8488/spanbert-large-finetuned-squadv2
|
mrm8488
|
bert
| 5 | 26 |
transformers
| 1 | null | true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'en', 'arxiv:1907.10529', 'transformers']
| false | true | true | 3,369 |
23,546 |
mrm8488/spanbert-large-finetuned-tacred
|
mrm8488
|
bert
| 9 | 30 |
transformers
| 0 |
feature-extraction
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'feature-extraction', 'en', 'arxiv:1907.10529', 'transformers']
| false | true | true | 2,293 |
23,547 |
mrm8488/spanish-gpt2
|
mrm8488
|
gpt2
| 18 | 1,039 |
transformers
| 10 |
text-generation
| true | false | true |
mit
|
['es']
|
['large_spanish_corpus']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'tensorboard', 'safetensors', 'gpt2', 'text-generation', 'es', 'dataset:large_spanish_corpus', 'transformers', 'GPT-2', 'license:mit', 'has_space']
| false | true | true | 1,664 |
23,548 |
mrm8488/spanish-t5-small-sqac-for-qa
|
mrm8488
|
t5
| 9 | 202 |
transformers
| 4 |
text2text-generation
| true | false | false | null |
['es']
|
['BSC-TeMU/SQAC']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 't5', 'text2text-generation', 'es', 'dataset:BSC-TeMU/SQAC', 'transformers', 'QA', 'Q&A', 'autotrain_compatible']
| false | true | true | 2,694 |
23,549 |
mrm8488/squeezebert-finetuned-squadv1
|
mrm8488
|
squeezebert
| 10 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null |
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'squeezebert', 'question-answering', 'en', 'dataset:squad', 'arxiv:2006.11316', 'arxiv:2004.02984', 'transformers', 'autotrain_compatible']
| false | true | true | 2,789 |
23,550 |
mrm8488/squeezebert-finetuned-squadv2
|
mrm8488
|
squeezebert
| 11 | 16 |
transformers
| 0 |
question-answering
| true | false | false | null |
['en']
|
['squad_v2']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'squeezebert', 'question-answering', 'en', 'dataset:squad_v2', 'arxiv:2006.11316', 'arxiv:2004.02984', 'transformers', 'autotrain_compatible']
| false | true | true | 2,758 |
23,551 |
mrm8488/t5-base-e2e-question-generation
|
mrm8488
|
t5
| 7 | 229 |
transformers
| 4 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,552 |
mrm8488/t5-base-finetuned-AESLC-summarization
|
mrm8488
|
t5
| 7 | 9 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,553 |
mrm8488/t5-base-finetuned-Reddit-TIFU-TLDR
|
mrm8488
|
t5
| 7 | 13 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,554 |
mrm8488/t5-base-finetuned-boolq
|
mrm8488
|
t5
| 7 | 40 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,555 |
mrm8488/t5-base-finetuned-break_data-question-retrieval
|
mrm8488
|
t5
| 8 | 43 |
transformers
| 3 |
text2text-generation
| true | false | false | null |
['en']
|
['break_data']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:break_data', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 4,134 |
23,556 |
mrm8488/t5-base-finetuned-break_data
|
mrm8488
|
t5
| 8 | 62 |
transformers
| 3 |
text2text-generation
| true | false | false | null |
['en']
|
['break_data']
| null | 1 | 1 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:break_data', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 3,674 |
23,557 |
mrm8488/t5-base-finetuned-common_gen
|
mrm8488
|
t5
| 10 | 379,069 |
transformers
| 40 |
text2text-generation
| true | false | false | null |
['en']
|
['common_gen']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'en', 'dataset:common_gen', 'arxiv:1910.10683', 'arxiv:1911.03705', 'transformers', 'common sense', 'autotrain_compatible', 'has_space']
| false | true | true | 4,078 |
23,558 |
mrm8488/t5-base-finetuned-disaster-tweets
|
mrm8488
|
t5
| 7 | 14 |
transformers
| 0 |
text2text-generation
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,559 |
mrm8488/t5-base-finetuned-e2m-intent
|
mrm8488
|
t5
| 8 | 604 |
transformers
| 9 |
text2text-generation
| true | false | false | null |
['en']
|
['event2Mind']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:event2Mind', 'arxiv:1910.10683', 'transformers', 'intent', 'autotrain_compatible']
| false | true | true | 3,246 |
23,560 |
mrm8488/t5-base-finetuned-emotion
|
mrm8488
|
t5
| 8 | 3,173 |
transformers
| 27 |
text2text-generation
| true | false | true | null |
['en']
|
['emotion']
| null | 1 | 1 | 0 | 0 | 2 | 2 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'en', 'dataset:emotion', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 3,889 |
23,561 |
mrm8488/t5-base-finetuned-imdb-sentiment
|
mrm8488
|
t5
| 8 | 669 |
transformers
| 4 |
text2text-generation
| true | false | false | null |
['en']
|
['imdb']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'en', 'dataset:imdb', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 3,672 |
23,562 |
mrm8488/t5-base-finetuned-math-calculus-differentiate
|
mrm8488
|
t5
| 8 | 22 |
transformers
| 1 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,563 |
mrm8488/t5-base-finetuned-math-linear-algebra-1d
|
mrm8488
|
t5
| 7 | 15 |
transformers
| 1 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,564 |
mrm8488/t5-base-finetuned-math-linear-algebra-2d
|
mrm8488
|
t5
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,565 |
mrm8488/t5-base-finetuned-math-list-prime-factors
|
mrm8488
|
t5
| 9 | 9 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,566 |
mrm8488/t5-base-finetuned-math-qa-test
|
mrm8488
|
t5
| 7 | 30 |
transformers
| 2 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,567 |
mrm8488/t5-base-finetuned-math-seq-next-term
|
mrm8488
|
t5
| 8 | 9 |
transformers
| 0 |
text2text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,568 |
mrm8488/t5-base-finetuned-multinews-512
|
mrm8488
|
t5
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,569 |
mrm8488/t5-base-finetuned-news-titles-classification
|
mrm8488
|
t5
| 6 | 37 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,570 |
mrm8488/t5-base-finetuned-qasc-sc
|
mrm8488
|
t5
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,571 |
mrm8488/t5-base-finetuned-qasc
|
mrm8488
|
t5
| 8 | 46 |
transformers
| 2 |
text2text-generation
| true | false | false | null |
['en']
|
['qasc']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:qasc', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 3,771 |
23,572 |
mrm8488/t5-base-finetuned-quarel
|
mrm8488
|
t5
| 9 | 13 |
transformers
| 0 |
text2text-generation
| true | false | true | null |
['en']
|
['quarel']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'en', 'dataset:quarel', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 5,277 |
23,573 |
mrm8488/t5-base-finetuned-quartz
|
mrm8488
|
t5
| 9 | 110 |
transformers
| 1 |
question-answering
| true | false | false | null |
['en']
|
['quartz']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'en', 'dataset:quartz', 'arxiv:1910.10683', 'transformers', 'question-answering', 'autotrain_compatible']
| false | true | true | 3,958 |
23,574 |
mrm8488/t5-base-finetuned-question-generation-ap
|
mrm8488
|
t5
| 10 | 81,825 |
transformers
| 86 |
text2text-generation
| true | true | false |
apache-2.0
|
['en']
|
['squad']
| null | 2 | 0 | 2 | 0 | 3 | 2 | 1 |
['pytorch', 'tf', 'safetensors', 't5', 'text2text-generation', 'en', 'dataset:squad', 'arxiv:1910.10683', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 4,092 |
23,575 |
mrm8488/t5-base-finetuned-quoref
|
mrm8488
|
t5
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,576 |
mrm8488/t5-base-finetuned-race
|
mrm8488
|
t5
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,577 |
mrm8488/t5-base-finetuned-sarcasm-twitter
|
mrm8488
|
t5
| 8 | 1,137 |
transformers
| 7 |
text2text-generation
| true | false | false | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'en', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 5,838 |
23,578 |
mrm8488/t5-base-finetuned-spa-squadv1
|
mrm8488
|
t5
| 7 | 54 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,579 |
mrm8488/t5-base-finetuned-span-sentiment-extraction
|
mrm8488
|
t5
| 7 | 17,060 |
transformers
| 8 |
text2text-generation
| true | false | false | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'arxiv:1910.10683', 'transformers', 'sentiment', 'extracion', 'passage', 'autotrain_compatible']
| false | true | true | 4,865 |
23,580 |
mrm8488/t5-base-finetuned-squadv2
|
mrm8488
|
t5
| 9 | 316 |
transformers
| 4 |
text2text-generation
| true | false | false | null |
['en']
|
['squad_v2']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'en', 'dataset:squad_v2', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 3,469 |
23,581 |
mrm8488/t5-base-finetuned-summarize-news
|
mrm8488
|
t5
| 9 | 180,422 |
transformers
| 24 |
text2text-generation
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 't5', 'text2text-generation', 'en', 'arxiv:1910.10683', 'transformers', 'news', 'summary', 'autotrain_compatible', 'has_space']
| false | true | true | 6,384 |
23,582 |
mrm8488/t5-base-finetuned-swag
|
mrm8488
|
t5
| 6 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,583 |
mrm8488/t5-base-finetuned-tab_fact
|
mrm8488
|
t5
| 7 | 9 |
transformers
| 0 |
text2text-generation
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,584 |
mrm8488/t5-base-finetuned-wikiSQL-sql-to-en
|
mrm8488
|
t5
| 8 | 252 |
transformers
| 4 |
text2text-generation
| true | false | false | null |
['en']
|
['wikisql']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:wikisql', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 3,732 |
23,585 |
mrm8488/t5-base-finetuned-wikiSQL
|
mrm8488
|
t5
| 9 | 5,204 |
transformers
| 32 |
text2text-generation
| true | false | true |
apache-2.0
|
['en']
|
['wikisql']
| null | 2 | 2 | 0 | 0 | 5 | 5 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'en', 'dataset:wikisql', 'arxiv:1910.10683', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,494 |
23,586 |
mrm8488/t5-small-finetuned-AESLC-summarization
|
mrm8488
|
t5
| 8 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,587 |
mrm8488/t5-small-finetuned-boolq
|
mrm8488
|
t5
| 7 | 42 |
transformers
| 1 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,588 |
mrm8488/t5-small-finetuned-common_gen
|
mrm8488
|
t5
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,589 |
mrm8488/t5-small-finetuned-emotion
|
mrm8488
|
t5
| 7 | 428 |
transformers
| 1 |
text2text-generation
| true | false | false | null |
['en']
|
['emotion']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:emotion', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 3,953 |
23,590 |
mrm8488/t5-small-finetuned-imdb-sentiment
|
mrm8488
|
t5
| 7 | 28 |
transformers
| 0 |
text2text-generation
| true | false | false | null |
['en']
|
['imdb']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:imdb', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 3,672 |
23,591 |
mrm8488/t5-small-finetuned-quora-for-paraphrasing
|
mrm8488
|
t5
| 8 | 384 |
transformers
| 8 |
text2text-generation
| true | false | false | null |
['en']
|
['quora']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:quora', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 3,712 |
23,592 |
mrm8488/t5-small-finetuned-squadv1
|
mrm8488
|
t5
| 8 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null |
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:squad', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 3,571 |
23,593 |
mrm8488/t5-small-finetuned-squadv2
|
mrm8488
|
t5
| 8 | 125 |
transformers
| 1 |
text2text-generation
| true | false | false | null |
['en']
|
['squad_v2']
| null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:squad_v2', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible']
| false | true | true | 3,589 |
23,594 |
mrm8488/t5-small-finetuned-text2log
|
mrm8488
|
t5
| 12 | 12 |
transformers
| 1 |
text2text-generation
| true | false | false |
apache-2.0
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'safetensors', 't5', 'text2text-generation', 'en', 'transformers', 'generated_from_trainer', 'tex2log', 'log2tex', 'foc', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 2,454 |
23,595 |
mrm8488/t5-small-finetuned-translation-es-to-pt
|
mrm8488
|
t5
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,596 |
mrm8488/t5-small-finetuned-wikiSQL
|
mrm8488
|
t5
| 9 | 229 |
transformers
| 5 |
text2text-generation
| true | false | false | null |
['en']
|
['wikisql']
| null | 3 | 2 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'en', 'dataset:wikisql', 'arxiv:1910.10683', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 3,387 |
23,597 |
mrm8488/t5-small-spanish-finetuned-squadv1
|
mrm8488
|
t5
| 7 | 55 |
transformers
| 1 |
text2text-generation
| true | false | false | null |
['es']
|
['squad_es']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'es', 'dataset:squad_es', 'transformers', 'autotrain_compatible']
| false | true | true | 53 |
23,598 |
mrm8488/t5-small-text2log
|
mrm8488
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,599 |
mrm8488/umberto-wikipedia-uncased-v1-finetuned-squadv1-it
|
mrm8488
|
camembert
| 10 | 55 |
transformers
| 0 |
question-answering
| true | false | false | null |
['it']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'camembert', 'question-answering', 'it', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 4,251 |
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