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8,600 | Tommi/wav2vec2-large-xlsr-53-finnish | Tommi | wav2vec2 | 9 | 9 | transformers | 0 | automatic-speech-recognition | true | false | true | apache-2.0 | ['fi'] | ['common_voice', 'CSS10', 'Finnish parliament session 2'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'fi', 'dataset:common_voice', 'dataset:CSS10', 'dataset:Finnish parliament session 2', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index'] | true | true | true | 3,910 |
8,601 | Tommy930/distilbert-base-uncased-finetuned-emotion | Tommy930 | distilbert | 12 | 19 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['emotion'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'text-classification', 'dataset:emotion', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index'] | true | true | true | 1,344 |
8,602 | Tommy930/emotionsModel | Tommy930 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,603 | Tomoki/test | Tomoki | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,604 | TonySloan/Me | TonySloan | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,605 | Towhid-Sust/Bangla-sentence-transformer | Towhid-Sust | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,606 | Tr1ex/DialoGPT-small-rick | Tr1ex | gpt2 | 11 | 12 | transformers | 0 | conversational | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 22 |
8,607 | TrLOX/gpt2-tdk | TrLOX | gpt2 | 13 | 12 | transformers | 0 | text-generation | true | false | false | apache-2.0 | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'has_space'] | true | true | true | 1,013 |
8,608 | Trainmaster9977/a3 | Trainmaster9977 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,609 | Trainmaster9977/ej | Trainmaster9977 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,610 | Trainmaster9977/test-clm | Trainmaster9977 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,611 | Trainmaster9977/test34 | Trainmaster9977 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,612 | Trainmaster9977/your-model-name | Trainmaster9977 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,613 | Trainmaster9977/your-model | Trainmaster9977 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,614 | Trainmaster9977/your | Trainmaster9977 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,615 | TranVien/wav2vec2-large-xls-r-300m-turkish-colab | TranVien | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,616 | TransQuest/microtransquest-de_en-pharmaceutical-smt | TransQuest | xlm-roberta | 12 | 10 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['de-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'de-en', 'transformers', 'Quality Estimation', 'microtransquest', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 5,291 |
8,617 | TransQuest/microtransquest-en_cs-it-smt | TransQuest | xlm-roberta | 12 | 10 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['en-cs'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'en-cs', 'transformers', 'Quality Estimation', 'microtransquest', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 5,279 |
8,618 | TransQuest/microtransquest-en_de-it-nmt | TransQuest | xlm-roberta | 12 | 33 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['en-de'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'en-de', 'transformers', 'Quality Estimation', 'microtransquest', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 5,279 |
8,619 | TransQuest/microtransquest-en_de-it-smt | TransQuest | null | 2 | 0 | null | 0 | null | false | false | false | apache-2.0 | ['en-de'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['en-de', 'Quality Estimation', 'microtransquest', 'license:apache-2.0'] | false | true | true | 5,279 |
8,620 | TransQuest/microtransquest-en_de-wiki | TransQuest | xlm-roberta | 12 | 10 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['en-de'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'en-de', 'transformers', 'Quality Estimation', 'microtransquest', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 5,277 |
8,621 | TransQuest/microtransquest-en_lv-pharmaceutical-nmt | TransQuest | xlm-roberta | 12 | 16 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['en-lv'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'en-lv', 'transformers', 'Quality Estimation', 'microtransquest', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 5,291 |
8,622 | TransQuest/microtransquest-en_lv-pharmaceutical-smt | TransQuest | xlm-roberta | 12 | 10 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['en-lv'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'en-lv', 'transformers', 'Quality Estimation', 'microtransquest', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 5,291 |
8,623 | TransQuest/microtransquest-en_zh-wiki | TransQuest | xlm-roberta | 12 | 19 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['en-zh'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'en-zh', 'transformers', 'Quality Estimation', 'microtransquest', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 5,277 |
8,624 | TransQuest/monotransquest-da-any_en | TransQuest | xlm-roberta | 8 | 14 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['multilingual-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'multilingual-en', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,304 |
8,625 | TransQuest/monotransquest-da-en_any | TransQuest | xlm-roberta | 8 | 32 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-multilingual'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-multilingual', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,304 |
8,626 | TransQuest/monotransquest-da-en_de-wiki | TransQuest | xlm-roberta | 12 | 14 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-de'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-de', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,308 |
8,627 | TransQuest/monotransquest-da-en_zh-wiki | TransQuest | xlm-roberta | 12 | 26 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-zh'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-zh', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,308 |
8,628 | TransQuest/monotransquest-da-et_en-wiki | TransQuest | xlm-roberta | 12 | 12 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['et-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'et-en', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,308 |
8,629 | TransQuest/monotransquest-da-multilingual | TransQuest | xlm-roberta | 12 | 495 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['multilingual-multilingual'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'multilingual-multilingual', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,310 |
8,630 | TransQuest/monotransquest-da-ne_en-wiki | TransQuest | xlm-roberta | 12 | 12 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['ne-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'ne-en', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,308 |
8,631 | TransQuest/monotransquest-da-ro_en-wiki | TransQuest | xlm-roberta | 12 | 25 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['ro-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'ro-en', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,308 |
8,632 | TransQuest/monotransquest-da-ru_en-reddit_wikiquotes | TransQuest | xlm-roberta | 12 | 18 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['ru-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'ru-en', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,321 |
8,633 | TransQuest/monotransquest-da-si_en-wiki | TransQuest | xlm-roberta | 12 | 12 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['si-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'si-en', 'transformers', 'Quality Estimation', 'monotransquest', 'DA', 'license:apache-2.0'] | false | true | true | 5,308 |
8,634 | TransQuest/monotransquest-hter-de_en-pharmaceutical | TransQuest | xlm-roberta | 8 | 20 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['de-en'] | null | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'de-en', 'transformers', 'Quality Estimation', 'monotransquest', 'hter', 'license:apache-2.0'] | false | true | true | 5,320 |
8,635 | TransQuest/monotransquest-hter-en_any | TransQuest | xlm-roberta | 12 | 21 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-multilingual'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-multilingual', 'transformers', 'Quality Estimation', 'monotransquest', 'HTER', 'license:apache-2.0'] | false | true | true | 5,306 |
8,636 | TransQuest/monotransquest-hter-en_cs-pharmaceutical | TransQuest | xlm-roberta | 8 | 12 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-cs'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-cs', 'transformers', 'Quality Estimation', 'monotransquest', 'hter', 'license:apache-2.0'] | false | true | true | 5,320 |
8,637 | TransQuest/monotransquest-hter-en_de-it-nmt | TransQuest | xlm-roberta | 8 | 12 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-de'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-de', 'transformers', 'Quality Estimation', 'monotransquest', 'hter', 'license:apache-2.0'] | false | true | true | 5,312 |
8,638 | TransQuest/monotransquest-hter-en_de-it-smt | TransQuest | xlm-roberta | 8 | 12 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-de'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-de', 'transformers', 'Quality Estimation', 'monotransquest', 'hter', 'license:apache-2.0'] | false | true | true | 5,312 |
8,639 | TransQuest/monotransquest-hter-en_de-wiki | TransQuest | xlm-roberta | 8 | 12 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-de'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-de', 'transformers', 'Quality Estimation', 'monotransquest', 'hter', 'license:apache-2.0'] | false | true | true | 5,310 |
8,640 | TransQuest/monotransquest-hter-en_lv-it-nmt | TransQuest | xlm-roberta | 8 | 14 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-lv'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-lv', 'transformers', 'Quality Estimation', 'monotransquest', 'hter', 'license:apache-2.0'] | false | true | true | 5,312 |
8,641 | TransQuest/monotransquest-hter-en_lv-it-smt | TransQuest | xlm-roberta | 8 | 12 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-lv'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-lv', 'transformers', 'Quality Estimation', 'monotransquest', 'hter', 'license:apache-2.0'] | false | true | true | 5,312 |
8,642 | TransQuest/monotransquest-hter-en_zh-wiki | TransQuest | xlm-roberta | 8 | 16 | transformers | 0 | text-classification | true | false | false | apache-2.0 | ['en-zh'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'text-classification', 'en-zh', 'transformers', 'Quality Estimation', 'monotransquest', 'hter', 'license:apache-2.0'] | false | true | true | 5,331 |
8,643 | TransQuest/siamesetransquest-da-en_de-wiki | TransQuest | xlm-roberta | 10 | 9 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['en-de'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en-de', 'transformers', 'Quality Estimation', 'siamesetransquest', 'da', 'license:apache-2.0'] | false | true | true | 5,243 |
8,644 | TransQuest/siamesetransquest-da-en_zh-wiki | TransQuest | xlm-roberta | 11 | 11 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['en-zh'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'en-zh', 'transformers', 'Quality Estimation', 'siamesetransquest', 'da', 'license:apache-2.0'] | false | true | true | 5,243 |
8,645 | TransQuest/siamesetransquest-da-et_en-wiki | TransQuest | xlm-roberta | 13 | 9 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['et-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'et-en', 'transformers', 'Quality Estimation', 'siamesetransquest', 'da', 'license:apache-2.0'] | false | true | true | 5,243 |
8,646 | TransQuest/siamesetransquest-da-multilingual | TransQuest | xlm-roberta | 11 | 9 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['multilingual-multilingual'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'multilingual-multilingual', 'transformers', 'Quality Estimation', 'siamesetransquest', 'da', 'license:apache-2.0'] | false | true | true | 5,245 |
8,647 | TransQuest/siamesetransquest-da-ne_en-wiki | TransQuest | xlm-roberta | 11 | 9 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['ne-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'ne-en', 'transformers', 'Quality Estimation', 'siamesetransquest', 'da', 'license:apache-2.0'] | false | true | true | 5,243 |
8,648 | TransQuest/siamesetransquest-da-ro_en-wiki | TransQuest | xlm-roberta | 12 | 14 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['ro-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'ro-en', 'transformers', 'Quality Estimation', 'siamesetransquest', 'da', 'license:apache-2.0'] | false | true | true | 5,243 |
8,649 | TransQuest/siamesetransquest-da-ru_en-reddit_wikiquotes | TransQuest | xlm-roberta | 13 | 12 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['ru-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'ru-en', 'transformers', 'Quality Estimation', 'siamesetransquest', 'da', 'license:apache-2.0'] | false | true | true | 5,256 |
8,650 | TransQuest/siamesetransquest-da-si_en-wiki | TransQuest | xlm-roberta | 11 | 9 | transformers | 0 | feature-extraction | true | false | false | apache-2.0 | ['si-en'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'feature-extraction', 'si-en', 'transformers', 'Quality Estimation', 'siamesetransquest', 'da', 'license:apache-2.0'] | false | true | true | 5,243 |
8,651 | Transabrar/bert-base-uncased-finetuned-bertbero | Transabrar | bert | 7 | 5 | transformers | 0 | fill-mask | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,652 | Transabrar/distilroberta-base-finetuned-abr | Transabrar | roberta | 8 | 6 | transformers | 0 | fill-mask | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,653 | Transabrar/roberta-base-finetuned-abs | Transabrar | roberta | 8 | 6 | transformers | 0 | fill-mask | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,654 | Transabrar/roberta-large-finetuned-abr | Transabrar | roberta | 8 | 6 | transformers | 0 | fill-mask | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,655 | Transabrar/roberta-large-finetuned-abrar | Transabrar | roberta | 8 | 6 | transformers | 0 | fill-mask | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,656 | Transabrar/scibert_scivocab_uncased-finetuned-scibero | Transabrar | bert | 7 | 9 | transformers | 0 | fill-mask | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,657 | TrebleJeff/DialoGPT-small-Michael | TrebleJeff | gpt2 | 31 | 14 | transformers | 0 | conversational | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 30 |
8,658 | Trikaldarshi/finetuned_british_asr | Trikaldarshi | null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,659 | Trikaldarshi/finetuned_british_asr_crowdsource | Trikaldarshi | null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,660 | TrimPeachu/Deadpool | TrimPeachu | gpt2 | 9 | 12 | transformers | 0 | conversational | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 25 |
8,661 | Trinio/Aiana | Trinio | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,662 | TristaNi/MAPC | TristaNi | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,663 | TristanBehrens/js-fakes-4bars | TristanBehrens | gpt2 | 8 | 56 | transformers | 9 | text-generation | true | false | false | null | null | null | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'music-modeling', 'music-generation', 'has_space'] | false | true | true | 1,122 |
8,664 | Trixzy/rickai-v1 | Trixzy | gpt2 | 11 | 15 | transformers | 1 | conversational | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 230 |
8,665 | Tropics/DialoGPT-small-peppa | Tropics | gpt2 | 11 | 12 | transformers | 0 | conversational | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 27 |
8,666 | Truflase/distilgpt2-finetuned-wikitext2 | Truflase | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,667 | Truflase/gpt2-finetuned-wikitext2 | Truflase | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,668 | Truflase/gpt2-oblivion | Truflase | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,669 | TsinghuaAI/CPM-Generate | TsinghuaAI | gpt2 | 7 | 861 | transformers | 31 | text-generation | true | true | false | mit | ['zh'] | ['100GB Chinese corpus'] | null | 2 | 1 | 0 | 1 | 1 | 1 | 0 | ['pytorch', 'tf', 'gpt2', 'text-generation', 'zh', 'dataset:100GB Chinese corpus', 'arxiv:2012.00413', 'transformers', 'cpm', 'license:mit'] | false | true | true | 5,949 |
8,670 | Tsubasaz/clinical-bert-base-128 | Tsubasaz | bert | 9 | 7 | transformers | 0 | fill-mask | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,671 | Tsubasaz/clinical-pubmed-bert-base-128 | Tsubasaz | bert | 8 | 13 | transformers | 0 | fill-mask | true | false | false | mit | ['en'] | ['MIMIC-III'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'fill-mask', 'en', 'dataset:MIMIC-III', 'transformers', 'license:mit', 'autotrain_compatible'] | false | true | true | 737 |
8,672 | Tsubasaz/clinical-pubmed-bert-base-512 | Tsubasaz | bert | 9 | 86 | transformers | 2 | fill-mask | true | false | false | mit | ['en'] | ['MIMIC-III'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'fill-mask', 'en', 'dataset:MIMIC-III', 'transformers', 'license:mit', 'autotrain_compatible'] | false | true | true | 869 |
8,673 | Tsung-Shan-Pan/SkyLimit-wav2vec2-base-CMU_MOSEI | Tsung-Shan-Pan | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,674 | Tsurakawi/erererere | Tsurakawi | null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | true | 387 |
8,675 | Tuana/eigenfaces-sklearn-lfw | Tuana | null | 4 | 0 | null | 1 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['joblib'] | false | false | true | 472 |
8,676 | Tuanalsey/Tuana | Tuanalsey | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,677 | TuhinColumbia/Creativity1 | TuhinColumbia | bart | 11 | 14 | transformers | 1 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,678 | TuhinColumbia/QAGenControlCode | TuhinColumbia | 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', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,679 | TuhinColumbia/QAGenmodelBARTELI51 | TuhinColumbia | bart | 10 | 8 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,680 | TuhinColumbia/QAGenmodelBARTELI5CC | TuhinColumbia | bart | 8 | 8 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,681 | TuhinColumbia/SimileLiteral | TuhinColumbia | roberta | 9 | 4 | transformers | 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'transformers'] | false | false | false | 0 |
8,682 | TuhinColumbia/dutchpoetrymany | TuhinColumbia | mbart | 10 | 8 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mbart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,683 | TuhinColumbia/germanpoetrymany | TuhinColumbia | mbart | 10 | 8 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mbart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,684 | TuhinColumbia/italianpoetrymany | TuhinColumbia | mbart | 10 | 8 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mbart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,685 | TuhinColumbia/multiopus | TuhinColumbia | mbart | 9 | 9 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mbart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,686 | TuhinColumbia/portugesepoetrymany | TuhinColumbia | mbart | 10 | 10 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mbart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,687 | TuhinColumbia/romancelanguagepoetry | TuhinColumbia | mbart | 9 | 8 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mbart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,688 | TuhinColumbia/russianpoetrymany | TuhinColumbia | mbart | 10 | 11 | transformers | 1 | text2text-generation | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mbart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,689 | TuhinColumbia/spanishpoetrymany | TuhinColumbia | mbart | 10 | 8 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mbart', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
8,690 | Turdboi420/DialoGPT-small-Luna | Turdboi420 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,691 | Turgay/demo | Turgay | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,692 | Turgay/jjhjhj | Turgay | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,693 | Turgay/turgay | Turgay | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
8,694 | TurkuNLP/bert-base-finnish-cased-v1 | TurkuNLP | bert | 9 | 11,952 | transformers | 4 | fill-mask | true | true | true | null | ['fi'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'fi', 'arxiv:1912.07076', 'arxiv:1908.04212', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 3,854 |
8,695 | TurkuNLP/bert-base-finnish-uncased-v1 | TurkuNLP | bert | 9 | 2,336 | transformers | 0 | fill-mask | true | true | true | null | ['fi'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'fi', 'arxiv:1912.07076', 'arxiv:1908.04212', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 4,354 |
8,696 | TurkuNLP/sbert-cased-finnish-paraphrase | TurkuNLP | bert | 12 | 79 | sentence-transformers | 0 | sentence-similarity | true | false | false | null | ['fi'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'fi', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers'] | false | true | true | 3,662 |
8,697 | TurkuNLP/sbert-uncased-finnish-paraphrase | TurkuNLP | bert | 12 | 218 | sentence-transformers | 0 | sentence-similarity | true | false | false | null | ['fi'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'fi', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers'] | false | true | true | 3,726 |
8,698 | TurkuNLP/wikibert-base-af-cased | TurkuNLP | null | 4 | 7 | transformers | 0 | null | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'transformers'] | false | false | false | 0 |
8,699 | TurkuNLP/wikibert-base-ar-cased | TurkuNLP | null | 4 | 7 | transformers | 0 | null | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'transformers'] | false | false | false | 0 |
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