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|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23,400 |
mrm8488/bert-tiny-finetuned-yahoo_answers_topics
|
mrm8488
|
bert
| 9 | 9 |
transformers
| 2 |
text-classification
| true | false | true | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'text-classification', 'transformers']
| false | false | false | 0 |
23,401 |
mrm8488/bert-tiny-wrslb-finetuned-squadv1
|
mrm8488
|
bert
| 10 | 9 |
transformers
| 0 |
question-answering
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,402 |
mrm8488/bert-tiny2bert-tiny_shared-finetuned-wikisql
|
mrm8488
|
encoder-decoder
| 7 | 19 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,403 |
mrm8488/bert-uncased-finetuned-qnli
|
mrm8488
|
bert
| 7 | 10 |
transformers
| 0 |
text-classification
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'text-classification', 'en', 'transformers']
| false | true | true | 1,870 |
23,404 |
mrm8488/bert2bert-medium_shared-question-generation
|
mrm8488
|
encoder-decoder
| 7 | 13 |
transformers
| 1 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,405 |
mrm8488/bert2bert-mini_shared-question-generation
|
mrm8488
|
encoder-decoder
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,406 |
mrm8488/bert2bert-multilingual_shared-question-generation
|
mrm8488
|
encoder-decoder
| 8 | 44 |
transformers
| 2 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,407 |
mrm8488/bert2bert-small_shared-question-generation
|
mrm8488
|
encoder-decoder
| 7 | 17 |
transformers
| 1 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,408 |
mrm8488/bert2bert-spanish-question-generation
|
mrm8488
|
encoder-decoder
| 9 | 107 |
transformers
| 7 |
text2text-generation
| true | false | false | null |
['es']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'encoder-decoder', 'text2text-generation', 'es', 'transformers', 'spanish', 'question', 'generation', 'autotrain_compatible', 'has_space']
| false | true | true | 68 |
23,409 |
mrm8488/bert2bert_shared-finetuned-wikisql
|
mrm8488
|
encoder-decoder
| 7 | 11 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,410 |
mrm8488/bert2bert_shared-german-finetuned-summarization
|
mrm8488
|
encoder-decoder
| 10 | 1,564 |
transformers
| 12 |
summarization
| true | false | false | null |
['de']
|
['mlsum']
| null | 1 | 0 | 1 | 0 | 4 | 4 | 0 |
['pytorch', 'safetensors', 'encoder-decoder', 'text2text-generation', 'de', 'dataset:mlsum', 'transformers', 'summarization', 'news', 'autotrain_compatible', 'has_space']
| false | true | true | 1,992 |
23,411 |
mrm8488/bert2bert_shared-italian-question-generation
|
mrm8488
|
encoder-decoder
| 7 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,412 |
mrm8488/bert2bert_shared-portuguese-question-generation
|
mrm8488
|
encoder-decoder
| 7 | 25 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,413 |
mrm8488/bert2bert_shared-spanish-finetuned-muchocine-review-summarization
|
mrm8488
|
encoder-decoder
| 8 | 41 |
transformers
| 0 |
summarization
| true | false | false | null |
['es']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'es', 'transformers', 'summarization', 'films', 'cinema', 'autotrain_compatible']
| false | true | true | 2 |
23,414 |
mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing
|
mrm8488
|
encoder-decoder
| 9 | 167 |
transformers
| 3 |
text2text-generation
| true | false | false | null |
['es']
|
['pausx']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'es', 'dataset:pausx', 'transformers', 'spanish', 'paraphrasing', 'paraphrase', 'autotrain_compatible']
| false | true | true | 69 |
23,415 |
mrm8488/bert2bert_shared-spanish-finetuned-summarization
|
mrm8488
|
encoder-decoder
| 9 | 1,341 |
transformers
| 12 |
summarization
| true | false | false | null |
['es']
|
['mlsum']
| null | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'safetensors', 'encoder-decoder', 'text2text-generation', 'es', 'dataset:mlsum', 'transformers', 'summarization', 'news', 'autotrain_compatible', 'has_space']
| false | true | true | 2,136 |
23,416 |
mrm8488/bert2bert_shared-turkish-summarization
|
mrm8488
|
encoder-decoder
| 8 | 359 |
transformers
| 3 |
summarization
| true | false | false | null |
['tr']
|
['mlsum']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'encoder-decoder', 'text2text-generation', 'tr', 'dataset:mlsum', 'transformers', 'summarization', 'news', 'autotrain_compatible', 'has_space']
| false | true | true | 2,019 |
23,417 |
mrm8488/bioclinical-roberta-es-finenuned-clinical-ner
|
mrm8488
|
roberta
| 12 | 8 |
transformers
| 0 |
token-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'roberta', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,418 |
mrm8488/bioclinicalBERT-finetuned-covid-papers
|
mrm8488
|
bert
| 9 | 11 |
transformers
| 1 |
fill-mask
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'fill-mask', 'en', 'transformers', 'autotrain_compatible']
| false | true | true | 52 |
23,419 |
mrm8488/biomedtra-small-es
|
mrm8488
|
electra
| 11 | 9 |
transformers
| 2 | null | true | false | false | null |
['es']
|
['cowese']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'electra', 'pretraining', 'es', 'dataset:cowese', 'arxiv:1406.2661', 'transformers', 'Spanish', 'Electra', 'Bio', 'Medical']
| false | true | true | 3,131 |
23,420 |
mrm8488/biomedtra-small-finenuned-clinical-ner
|
mrm8488
|
electra
| 13 | 24 |
transformers
| 2 |
token-classification
| true | false | false | null |
['es']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'safetensors', 'electra', 'token-classification', 'es', 'transformers', 'clinical', 'pii', 'ner', 'medical', 'autotrain_compatible']
| false | true | true | 109 |
23,421 |
mrm8488/bsc-roberta-base-spanish-diagnostics
|
mrm8488
|
roberta
| 12 | 7 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'roberta', 'text-classification', 'transformers']
| false | false | false | 0 |
23,422 |
mrm8488/byt5-small-finetuned-tweet-qa
|
mrm8488
|
t5
| 5 | 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 |
23,423 |
mrm8488/byt5-small-tweet-hate-detection
|
mrm8488
|
t5
| 5 | 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 |
23,424 |
mrm8488/camembert-base-finetuned-movie-review-sentiment-analysis
|
mrm8488
|
camembert
| 7 | 46 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'camembert', 'text-classification', 'transformers']
| false | false | false | 0 |
23,425 |
mrm8488/camembert-base-finetuned-pawsx-fr
|
mrm8488
|
camembert
| 7 | 25 |
transformers
| 0 |
text-classification
| true | false | false | null |
['fr']
|
['xtreme']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'camembert', 'text-classification', 'fr', 'dataset:xtreme', 'transformers', 'nli']
| false | true | true | 78 |
23,426 |
mrm8488/camembert2camembert_shared-finetuned-french-summarization
|
mrm8488
|
encoder-decoder
| 11 | 2,023 |
transformers
| 9 |
summarization
| true | false | false | null |
['fr']
|
['mlsum']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'encoder-decoder', 'text2text-generation', 'fr', 'dataset:mlsum', 'transformers', 'summarization', 'news', 'autotrain_compatible', 'has_space']
| false | true | true | 3,508 |
23,427 |
mrm8488/chEMBL26_smiles_v2
|
mrm8488
|
roberta
| 12 | 59 |
transformers
| 0 |
fill-mask
| true | false | true | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'en', 'transformers', 'drugs', 'chemist', 'drug design', 'smile', 'autotrain_compatible']
| false | true | true | 1 |
23,428 |
mrm8488/chEMBL_smiles_v1
|
mrm8488
|
roberta
| 11 | 81 |
transformers
| 2 |
fill-mask
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'roberta', 'fill-mask', 'en', 'transformers', 'drugs', 'chemist', 'drug design', 'autotrain_compatible']
| false | true | true | 3,673 |
23,429 |
mrm8488/clinical-roberta-base-spanish-finetuned-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 |
23,430 |
mrm8488/codeBERTaJS
|
mrm8488
|
roberta
| 10 | 29 |
transformers
| 5 |
fill-mask
| true | false | true | null |
['code']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'code', 'arxiv:1909.09436', 'transformers', 'javascript', 'autotrain_compatible']
| false | true | true | 2,659 |
23,431 |
mrm8488/codebert-base-finetuned-detect-insecure-code
|
mrm8488
|
roberta
| 9 | 99,668 |
transformers
| 10 |
text-classification
| true | false | true | null |
['en']
|
['codexglue']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'text-classification', 'en', 'dataset:codexglue', 'arxiv:2002.08155', 'arxiv:1907.11692', 'transformers', 'has_space']
| false | true | true | 3,772 |
23,432 |
mrm8488/codebert-base-finetuned-stackoverflow-ner
|
mrm8488
|
roberta
| 13 | 532 |
transformers
| 9 |
token-classification
| true | false | true |
mit
|
['en']
|
['https://aclanthology.org/2020.acl-main.443/']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'token-classification', 'en', 'dataset:https://aclanthology.org/2020.acl-main.443/', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 258 |
23,433 |
mrm8488/codebert-finetuned-clone-detection
|
mrm8488
|
roberta
| 8 | 10 |
transformers
| 2 |
feature-extraction
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'jax', 'roberta', 'feature-extraction', 'transformers']
| false | false | false | 0 |
23,434 |
mrm8488/codebert2codebert-finetuned-code-defect-detection
|
mrm8488
|
roberta
| 9 | 46 |
transformers
| 1 |
text-classification
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'transformers']
| false | false | false | 0 |
23,435 |
mrm8488/codebert2codebert-finetuned-code-refinement-small
|
mrm8488
|
encoder-decoder
| 8 | 9 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,436 |
mrm8488/codebert2codebert-finetuned-code-refinement
|
mrm8488
|
encoder-decoder
| 8 | 9 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,437 |
mrm8488/convbert-base-spanish
|
mrm8488
|
convbert
| 9 | 13 |
transformers
| 1 |
feature-extraction
| true | true | false |
mit
|
['es']
|
['large_spanish_corpus']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'convbert', 'feature-extraction', 'es', 'dataset:large_spanish_corpus', 'arxiv:2008.02496', 'transformers', 'license:mit']
| false | true | true | 918 |
23,438 |
mrm8488/convbert-small-spanish
|
mrm8488
|
convbert
| 10 | 10 |
transformers
| 2 |
feature-extraction
| true | true | false |
mit
|
['es']
|
['large_spanish_corpus']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'safetensors', 'convbert', 'feature-extraction', 'es', 'dataset:large_spanish_corpus', 'arxiv:2008.02496', 'transformers', 'license:mit']
| false | true | true | 922 |
23,439 |
mrm8488/deberta-v3-base-finetuned-squadv2
|
mrm8488
|
deberta-v2
| 11 | 11 |
transformers
| 1 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,440 |
mrm8488/deberta-v3-base-goemotions
|
mrm8488
|
deberta-v2
| 12 | 55 |
transformers
| 1 |
text-classification
| true | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'deberta-v2', 'text-classification', 'transformers', 'generated_from_trainer', 'license:mit']
| true | true | true | 1,455 |
23,441 |
mrm8488/deberta-v3-large-finetuned-mnli
|
mrm8488
|
deberta-v2
| 13 | 17 |
transformers
| 3 |
text-classification
| true | false | false |
mit
|
['en']
|
['glue']
| null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'text-classification', 'en', 'dataset:glue', 'arxiv:2006.03654', 'arxiv:2111.09543', 'transformers', 'generated_from_trainer', 'license:mit', 'model-index']
| true | true | true | 2,545 |
23,442 |
mrm8488/deberta-v3-large-goemotions
|
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 |
23,443 |
mrm8488/deberta-v3-large
|
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 |
23,444 |
mrm8488/deberta-v3-small-finetuned-cola
|
mrm8488
|
deberta-v2
| 16 | 615 |
transformers
| 3 |
text-classification
| true | false | false |
mit
|
['en']
|
['glue']
| null | 3 | 0 | 3 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'safetensors', 'deberta-v2', 'text-classification', 'en', 'dataset:glue', 'arxiv:2006.03654', 'arxiv:2111.09543', 'transformers', 'generated_from_trainer', 'license:mit', 'model-index']
| true | true | true | 3,073 |
23,445 |
mrm8488/deberta-v3-small-finetuned-mnli
|
mrm8488
|
deberta-v2
| 15 | 18 |
transformers
| 3 |
text-classification
| true | false | false |
mit
|
['en']
|
['glue']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'deberta-v2', 'text-classification', 'en', 'dataset:glue', 'arxiv:2006.03654', 'arxiv:2111.09543', 'transformers', 'generated_from_trainer', 'deberta-v3', 'license:mit', 'model-index']
| true | true | true | 7,679 |
23,446 |
mrm8488/deberta-v3-small-finetuned-mrpc
|
mrm8488
|
deberta-v2
| 15 | 10 |
transformers
| 1 |
text-classification
| true | false | false |
mit
|
['en']
|
['glue']
| null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'deberta-v2', 'text-classification', 'en', 'dataset:glue', 'transformers', 'generated_from_trainer', 'deberta-v3', 'license:mit', 'model-index']
| true | true | true | 2,153 |
23,447 |
mrm8488/deberta-v3-small-finetuned-qnli
|
mrm8488
|
deberta-v2
| 15 | 14 |
transformers
| 1 |
text-classification
| true | false | false |
mit
|
['en']
|
['glue']
| null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'deberta-v2', 'text-classification', 'en', 'dataset:glue', 'transformers', 'generated_from_trainer', 'license:mit', 'model-index']
| true | true | true | 1,497 |
23,448 |
mrm8488/deberta-v3-small-finetuned-squad
|
mrm8488
|
deberta-v2
| 10 | 17 |
transformers
| 1 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,449 |
mrm8488/deberta-v3-small-finetuned-squadv2
|
mrm8488
|
deberta-v2
| 11 | 46 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'deberta-v2', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,450 |
mrm8488/deberta-v3-small-finetuned-sst2
|
mrm8488
|
deberta-v2
| 16 | 55 |
transformers
| 2 |
text-classification
| true | false | false |
mit
|
['en']
|
['glue']
| null | 4 | 1 | 3 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'safetensors', 'deberta-v2', 'text-classification', 'en', 'dataset:glue', 'transformers', 'generated_from_trainer', 'deberta-v3', 'license:mit', 'model-index']
| true | true | true | 1,499 |
23,451 |
mrm8488/deberta-v3-small-goemotions
|
mrm8488
|
deberta-v2
| 12 | 11 |
transformers
| 1 |
text-classification
| true | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'deberta-v2', 'text-classification', 'transformers', 'generated_from_trainer', 'license:mit']
| true | true | true | 1,460 |
23,452 |
mrm8488/dilstilgpt2-finetuned-amazon-food-reviews
|
mrm8488
|
gpt2
| 11 | 26 |
transformers
| 0 |
text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
23,453 |
mrm8488/diltilgpt2-finetuned-bookcopus-10
|
mrm8488
|
gpt2
| 9 | 22 |
transformers
| 3 |
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 |
23,454 |
mrm8488/distilbart-12-6-finetuned-answersum
|
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 |
23,455 |
mrm8488/distilbert-base-multi-cased-finetuned-typo-detection
|
mrm8488
|
distilbert
| 10 | 18 |
transformers
| 4 |
token-classification
| true | false | false | null |
['multilingual', 'en', 'zh', 'ja', 'ru', 'fr', 'de', 'pt', 'es', 'ko', 'hi']
| null | null | 3 | 0 | 3 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'distilbert', 'token-classification', 'multilingual', 'en', 'zh', 'ja', 'ru', 'fr', 'de', 'pt', 'es', 'ko', 'hi', 'transformers', 'autotrain_compatible']
| false | true | true | 1,699 |
23,456 |
mrm8488/distilbert-base-uncased-newspop-student
|
mrm8488
|
distilbert
| 7 | 9 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'transformers']
| false | false | false | 0 |
23,457 |
mrm8488/distilbert-finetuned-sarcasm-classification
|
mrm8488
|
distilbert
| 6 | 12 |
transformers
| 0 |
fill-mask
| false | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['tf', 'distilbert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,458 |
mrm8488/distilbert-multi-finedtuned-squad-pt
|
mrm8488
|
distilbert
| 9 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,459 |
mrm8488/distilbert-multi-finetuned-for-xqua-on-tydiqa
|
mrm8488
|
distilbert
| 10 | 21 |
transformers
| 0 |
question-answering
| true | false | false | null |
['multilingual']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'question-answering', 'multilingual', 'transformers', 'autotrain_compatible']
| false | true | true | 2,999 |
23,460 |
mrm8488/distilgpt2-finedtuned-meditations
|
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 |
23,461 |
mrm8488/distilgpt2-finetuned-bookcopus-10
|
mrm8488
|
gpt2
| 9 | 9 |
transformers
| 0 |
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 |
23,462 |
mrm8488/distilgpt2-finetuned-reddit-tifu
|
mrm8488
|
gpt2
| 9 | 11 |
transformers
| 0 |
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 |
23,463 |
mrm8488/distilgpt2-finetuned-wsb-tweets
|
mrm8488
|
gpt2
| 12 | 15 |
transformers
| 0 |
text-generation
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'en', 'transformers', 'wsb', 'tweets']
| false | true | true | 60 |
23,464 |
mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es
|
mrm8488
|
bert
| 13 | 4,463 |
transformers
| 30 |
question-answering
| true | false | true |
apache-2.0
|
['es']
| null | null | 1 | 1 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'es', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 4,514 |
23,465 |
mrm8488/distilroberta-base-finetuned-suicide-depression
|
mrm8488
|
roberta
| 18 | 92 |
transformers
| 4 |
text-classification
| true | false | false |
apache-2.0
| null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'safetensors', 'roberta', 'text-classification', 'transformers', 'generated_from_trainer', 'license:apache-2.0']
| true | true | true | 1,649 |
23,466 |
mrm8488/distilroberta-finetuned-age_news-classification
|
mrm8488
|
roberta
| 11 | 78 |
transformers
| 1 |
text-classification
| true | false | true | null |
['en']
|
['ag_news']
| null | 3 | 2 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:ag_news', 'transformers', 'news', 'classification']
| false | true | true | 100 |
23,467 |
mrm8488/distilroberta-finetuned-banking77
|
mrm8488
|
roberta
| 11 | 53 |
transformers
| 5 |
text-classification
| true | false | false | null |
['en']
|
['banking77']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:banking77', 'transformers', 'banking', 'intent', 'multiclass']
| false | true | true | 775 |
23,468 |
mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
|
mrm8488
|
roberta
| 14 | 120,234 |
transformers
| 58 |
text-classification
| true | false | false |
apache-2.0
| null |
['financial_phrasebank']
| null | 3 | 0 | 1 | 1 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'safetensors', 'roberta', 'text-classification', 'dataset:financial_phrasebank', 'transformers', 'generated_from_trainer', 'financial', 'stocks', 'sentiment', 'license:apache-2.0', 'model-index', 'has_space']
| true | true | true | 1,474 |
23,469 |
mrm8488/distilroberta-finetuned-rotten_tomatoes-sentiment-analysis
|
mrm8488
|
roberta
| 9 | 8 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'transformers']
| false | false | false | 0 |
23,470 |
mrm8488/distilroberta-finetuned-squadv1
|
mrm8488
|
roberta
| 11 | 10 |
transformers
| 0 |
question-answering
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,471 |
mrm8488/distilroberta-finetuned-tweets-hate-speech
|
mrm8488
|
roberta
| 10 | 111 |
transformers
| 6 |
text-classification
| true | false | true | null |
['en']
|
['tweets_hate_speech_detection']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'text-classification', 'en', 'dataset:tweets_hate_speech_detection', 'transformers', 'twitter', 'hate', 'speech', 'has_space']
| false | true | true | 124 |
23,472 |
mrm8488/distiluse-base-multilingual-cased-v2-finetuned-stsb_multi_mt-es
|
mrm8488
|
distilbert
| 12 | 61 |
sentence-transformers
| 1 |
sentence-similarity
| true | false | false | null |
['es']
|
['stsb_multi_mt']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'es', 'dataset:stsb_multi_mt', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers']
| false | true | true | 4,763 |
23,473 |
mrm8488/electra-base-finetuned-squadv1
|
mrm8488
|
electra
| 10 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'en', 'arxiv:1406.2661', 'transformers', 'autotrain_compatible']
| false | true | true | 3,143 |
23,474 |
mrm8488/electra-base-finetuned-squadv2
|
mrm8488
|
electra
| 10 | 17 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,475 |
mrm8488/electra-large-finetuned-squadv1
|
mrm8488
|
electra
| 9 | 14 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,476 |
mrm8488/electra-large-goemotions
|
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 |
23,477 |
mrm8488/electra-small-finetuned-squadv1
|
mrm8488
|
electra
| 10 | 17 |
transformers
| 0 |
question-answering
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'en', 'arxiv:1406.2661', 'transformers', 'autotrain_compatible']
| false | true | true | 3,147 |
23,478 |
mrm8488/electra-small-finetuned-squadv2
|
mrm8488
|
electra
| 11 | 66 |
transformers
| 1 |
question-answering
| true | false | false |
apache-2.0
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'en', 'arxiv:1406.2661', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,158 |
23,479 |
mrm8488/electricidad-base-discriminator
|
mrm8488
|
electra
| 5 | 12 |
transformers
| 3 | null | true | false | false | null |
['es']
|
['-large_spanish_corpus']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'es', 'dataset:-large_spanish_corpus', 'arxiv:1406.2661', 'transformers', 'Spanish', 'Electra']
| false | true | true | 4,484 |
23,480 |
mrm8488/electricidad-base-finetuned-medical-diagnostics
|
mrm8488
|
electra
| 15 | 20 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'safetensors', 'electra', 'text-classification', 'transformers']
| false | true | true | 53 |
23,481 |
mrm8488/electricidad-base-finetuned-muchocine
|
mrm8488
|
electra
| 8 | 55 |
transformers
| 0 |
text-classification
| true | false | false | null |
['es']
|
['muchocine']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'electra', 'text-classification', 'es', 'dataset:muchocine', 'transformers', 'sentiment', 'analysis', 'spanish']
| false | true | true | 1,240 |
23,482 |
mrm8488/electricidad-base-finetuned-ner
|
mrm8488
|
electra
| 8 | 13 |
transformers
| 0 |
token-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,483 |
mrm8488/electricidad-base-finetuned-pawsx-es
|
mrm8488
|
electra
| 7 | 14 |
transformers
| 1 |
text-classification
| true | false | false | null |
['es']
|
['xtreme']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'text-classification', 'es', 'dataset:xtreme', 'transformers', 'nli']
| false | true | true | 81 |
23,484 |
mrm8488/electricidad-base-finetuned-pos
|
mrm8488
|
electra
| 8 | 11 |
transformers
| 0 |
token-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,485 |
mrm8488/electricidad-base-finetuned-squadv1-es
|
mrm8488
|
electra
| 9 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,486 |
mrm8488/electricidad-base-generator
|
mrm8488
|
electra
| 5 | 24 |
transformers
| 3 |
fill-mask
| true | false | false | null |
['es']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'fill-mask', 'es', 'arxiv:1406.2661', 'transformers', 'autotrain_compatible']
| false | true | true | 2,015 |
23,487 |
mrm8488/electricidad-small-discriminator
|
mrm8488
|
electra
| 5 | 4 |
transformers
| 4 | null | true | false | false | null |
['es']
|
['large_spanish_corpus']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'es', 'dataset:large_spanish_corpus', 'transformers', 'Spanish', 'Electra']
| false | true | true | 3,253 |
23,488 |
mrm8488/electricidad-small-finetuned-medical-diagnostics
|
mrm8488
|
electra
| 13 | 37 |
transformers
| 1 |
text-classification
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'safetensors', 'electra', 'text-classification', 'transformers']
| false | true | true | 54 |
23,489 |
mrm8488/electricidad-small-finetuned-muchocine
|
mrm8488
|
electra
| 7 | 20 |
transformers
| 2 |
text-classification
| true | false | false | null |
['es']
|
['muchocine']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'text-classification', 'es', 'dataset:muchocine', 'transformers', 'sentiment', 'analysis', 'spanish']
| false | true | true | 1,005 |
23,490 |
mrm8488/electricidad-small-finetuned-restaurant-sentiment-analysis
|
mrm8488
|
electra
| 9 | 143 |
transformers
| 3 |
text-classification
| true | false | false | null |
['es']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'electra', 'text-classification', 'es', 'transformers', 'restaurant', 'classification', 'reviews']
| false | true | true | 104 |
23,491 |
mrm8488/electricidad-small-finetuned-squadv1-es
|
mrm8488
|
electra
| 10 | 24 |
transformers
| 1 |
question-answering
| true | false | false | null |
['es']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'es', 'transformers', 'QA', 'SQuAD', 'autotrain_compatible']
| false | true | true | 2,929 |
23,492 |
mrm8488/electricidad-small-finetuned-xnli-es
|
mrm8488
|
electra
| 9 | 86 |
transformers
| 2 |
text-classification
| true | false | false |
mit
|
['es']
|
['xnli']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'electra', 'text-classification', 'es', 'dataset:xnli', 'transformers', 'spanish', 'nli', 'xnli', 'license:mit']
| false | true | true | 41 |
23,493 |
mrm8488/electrovid19-small
|
mrm8488
|
electra
| 4 | 7 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'transformers']
| false | false | false | 0 |
23,494 |
mrm8488/es-tinybert-v1-1
|
mrm8488
|
bert
| 8 | 11 |
transformers
| 0 | null | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'transformers']
| false | false | false | 0 |
23,495 |
mrm8488/es-tinybert-v1
|
mrm8488
|
bert
| 9 | 5 |
transformers
| 0 | null | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'transformers']
| false | false | false | 0 |
23,496 |
mrm8488/flaubert-small-finetuned-movie-review-sentiment-analysis
|
mrm8488
|
flaubert
| 7 | 10 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'flaubert', 'text-classification', 'transformers']
| false | false | false | 0 |
23,497 |
mrm8488/funnel-transformer-intermediate-mnli
|
mrm8488
|
funnel
| 10 | 17 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'funnel', 'text-classification', 'transformers']
| false | false | false | 0 |
23,498 |
mrm8488/gpt2-finetuned-recipes-cooking
|
mrm8488
|
gpt2
| 11 | 26 |
transformers
| 1 |
text-generation
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'gpt2', 'text-generation', 'en', 'transformers']
| false | true | false | 0 |
23,499 |
mrm8488/gpt2-finetuned-recipes-cooking_v2
|
mrm8488
|
gpt2
| 11 | 64 |
transformers
| 0 |
text-generation
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'gpt2', 'text-generation', 'en', 'transformers']
| false | true | false | 0 |
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