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1,000 | Axon/resnet18-v1 | Axon | null | 3 | 0 | null | 1 | null | false | false | false | apache-2.0 | null | ['ImageNet'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['dataset:ImageNet', 'arxiv:1512.03385', 'Axon', 'Elixir', 'license:apache-2.0'] | false | true | true | 3,462 |
1,001 | Axon/resnet34-v1 | Axon | null | 3 | 0 | null | 0 | null | false | false | false | apache-2.0 | null | ['ImageNet'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['dataset:ImageNet', 'arxiv:1512.03385', 'Axon', 'Elixir', 'license:apache-2.0'] | false | true | true | 3,462 |
1,002 | Axon/resnet50-v1 | Axon | null | 3 | 0 | null | 0 | null | false | false | false | apache-2.0 | null | ['ImageNet'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['dataset:ImageNet', 'arxiv:1512.03385', 'Axon', 'Elixir', 'license:apache-2.0'] | false | true | true | 3,462 |
1,003 | Ayah/GPT2-DBpedia | Ayah | gpt2 | 8 | 16 | transformers | 0 | text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers'] | false | false | false | 0 |
1,004 | Ayato/DialoGTP-large-Yuri | Ayato | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,005 | Aybars/ModelOnTquad | Aybars | bert | 10 | 13 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'question-answering', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
1,006 | Aybars/ModelOnWhole | Aybars | bert | 10 | 13 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'question-answering', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
1,007 | Aybars/XLM_Turkish | Aybars | xlm-roberta | 7 | 14 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'question-answering', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
1,008 | Ayham/albert_bert_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 993 |
1,009 | Ayham/albert_distilgpt2_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 13 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 994 |
1,010 | Ayham/albert_gpt2_Full_summarization_cnndm | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 990 |
1,011 | Ayham/albert_gpt2_summarization_cnndm | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 991 |
1,012 | Ayham/albert_gpt2_summarization_xsum | Ayham | encoder-decoder | 8 | 15 | transformers | 0 | text2text-generation | true | false | false | null | null | ['xsum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 975 |
1,013 | Ayham/albert_roberta_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 1,000 |
1,014 | Ayham/bert_bert_summarization_cnn_dailymail | Ayham | encoder-decoder | 12 | 23 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 991 |
1,015 | Ayham/bert_distilgpt2_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 992 |
1,016 | Ayham/bert_gpt2_summarization_cnndm | Ayham | encoder-decoder | 8 | 16 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 983 |
1,017 | Ayham/bert_gpt2_summarization_cnndm_new | Ayham | encoder-decoder | 8 | 29 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 987 |
1,018 | Ayham/bert_gpt2_summarization_xsum | Ayham | encoder-decoder | 8 | 15 | transformers | 0 | text2text-generation | true | false | false | null | null | ['xsum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 973 |
1,019 | Ayham/bert_roberta_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 994 |
1,020 | Ayham/bertgpt2_cnn | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 954 |
1,021 | Ayham/distilbert_bert_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 20 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 997 |
1,022 | Ayham/distilbert_distilgpt2_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 998 |
1,023 | Ayham/distilbert_gpt2_summarization_cnndm | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 989 |
1,024 | Ayham/distilbert_gpt2_summarization_xsum | Ayham | encoder-decoder | 8 | 15 | transformers | 0 | text2text-generation | true | false | false | null | null | ['xsum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 979 |
1,025 | Ayham/distilbert_roberta_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 22 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 1,000 |
1,026 | Ayham/ernie_gpt2_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 19 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 992 |
1,027 | Ayham/roberta_bert_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 17 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 994 |
1,028 | Ayham/roberta_distilgpt2_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 995 |
1,029 | Ayham/roberta_gpt2_new_max64_summarization_cnndm | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 996 |
1,030 | Ayham/roberta_gpt2_summarization_cnn_dailymail | Ayham | encoder-decoder | 10 | 16 | transformers | 1 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 1,645 |
1,031 | Ayham/roberta_gpt2_summarization_xsum | Ayham | encoder-decoder | 8 | 15 | transformers | 0 | text2text-generation | true | false | false | null | null | ['xsum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 976 |
1,032 | Ayham/roberta_roberta_summarization_cnn_dailymail | Ayham | encoder-decoder | 13 | 18 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 997 |
1,033 | Ayham/robertagpt2_cnn | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 957 |
1,034 | Ayham/robertagpt2_xsum | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 958 |
1,035 | Ayham/robertagpt2_xsum2 | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 959 |
1,036 | Ayham/robertagpt2_xsum4 | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 959 |
1,037 | Ayham/xlmroberta_gpt2_summarization_xsum | Ayham | encoder-decoder | 8 | 41 | transformers | 0 | text2text-generation | true | false | false | null | null | ['xsum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 979 |
1,038 | Ayham/xlmroberta_large_gpt2_summarization_cnndm | Ayham | encoder-decoder | 8 | 20 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 995 |
1,039 | Ayham/xlnet_bert_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 992 |
1,040 | Ayham/xlnet_distilgpt2_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 993 |
1,041 | Ayham/xlnet_gpt2_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 992 |
1,042 | Ayham/xlnet_gpt2_summarization_xsum | Ayham | encoder-decoder | 8 | 15 | transformers | 0 | text2text-generation | true | false | false | null | null | ['xsum'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 974 |
1,043 | Ayham/xlnet_gpt_xsum | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 932 |
1,044 | Ayham/xlnet_roberta_new_summarization_cnn_dailymail | Ayham | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,045 | Ayham/xlnet_roberta_summarization_cnn_dailymail | Ayham | encoder-decoder | 8 | 23 | transformers | 0 | text2text-generation | true | false | false | null | null | ['cnn_dailymail'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 995 |
1,046 | Ayham/xlnetgpt2_xsum7 | Ayham | encoder-decoder | 8 | 14 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 957 |
1,047 | Ayjayo/DialoGPT-medium-AyjayoAI | Ayjayo | gpt2 | 51 | 18 | 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 | 8 |
1,048 | Aymene/opus-mt-en-ro-finetuned-en-to-ro | Aymene | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,049 | Ayoola/cdial-yoruba-test | Ayoola | wav2vec2 | 7 | 16 | transformers | 2 | automatic-speech-recognition | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'transformers', 'has_space'] | false | false | false | 0 |
1,050 | Ayoola/pytorch_model | Ayoola | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,051 | Ayoola/wav2vec2-large-xlsr-turkish-demo-colab | Ayoola | null | 4 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,052 | Ayou/chinese_mobile_bert | Ayou | mobilebert | 8 | 27 | transformers | 1 | fill-mask | true | false | false | apache-2.0 | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mobilebert', 'fill-mask', 'transformers', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 58 |
1,053 | Ayran/DialoGPT-medium-harry-1 | Ayran | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,054 | Ayran/DialoGPT-medium-harry-potter-1-through-3 | Ayran | gpt2 | 21 | 18 | 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 | 42 |
1,055 | Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6-e18 | Ayran | gpt2 | 10 | 18 | transformers | 0 | conversational | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 77 |
1,056 | Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6 | Ayran | gpt2 | 31 | 18 | 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 | 57 |
1,057 | Ayran/DialoGPT-small-gandalf | Ayran | gpt2 | 11 | 21 | transformers | 0 | conversational | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 25 |
1,058 | Ayran/DialoGPT-small-harry-potter-1-through-3 | Ayran | gpt2 | 12 | 21 | 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 | 57 |
1,059 | Ayta/Haha | Ayta | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,060 | Ayu/Shiriro | Ayu | null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,061 | Ayumi/Jovana | Ayumi | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,062 | AyushPJ/ai-club-inductions-21-nlp-ALBERT | AyushPJ | albert | 10 | 14 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'albert', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 845 |
1,063 | AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad | AyushPJ | 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', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 1,064 |
1,064 | AyushPJ/ai-club-inductions-21-nlp-XLNet | AyushPJ | xlnet | 10 | 14 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlnet', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 844 |
1,065 | AyushPJ/ai-club-inductions-21-nlp-distilBERT | AyushPJ | distilbert | 10 | 14 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'distilbert', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 851 |
1,066 | AyushPJ/ai-club-inductions-21-nlp-roBERTa-base-squad-v2 | AyushPJ | roberta | 11 | 14 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 859 |
1,067 | AyushPJ/ai-club-inductions-21-nlp-roBERTa | AyushPJ | roberta | 11 | 14 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 846 |
1,068 | AyushPJ/test-squad-trained-finetuned-squad | AyushPJ | distilbert | 12 | 14 | transformers | 0 | question-answering | true | false | false | null | null | ['squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | true | true | true | 847 |
1,069 | Azaghast/DistilBART-SCP-ParaSummarization | Azaghast | bart | 3 | 15 | 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 |
1,070 | Azaghast/DistilBERT-SCP-Class-Classification | Azaghast | distilbert | 7 | 40 | transformers | 1 | text-classification | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'distilbert', 'text-classification', 'transformers'] | false | false | false | 0 |
1,071 | Azaghast/GPT2-SCP-ContainmentProcedures | Azaghast | gpt2 | 8 | 24 | transformers | 0 | text-generation | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers'] | false | false | false | 0 |
1,072 | Azaghast/GPT2-SCP-Descriptions | Azaghast | gpt2 | 8 | 18 | transformers | 0 | text-generation | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers'] | false | false | false | 0 |
1,073 | Azaghast/GPT2-SCP-Miscellaneous | Azaghast | gpt2 | 8 | 17 | transformers | 0 | text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers'] | false | false | false | 0 |
1,074 | Azizun/Geotrend-10-epochs | Azizun | bert | 11 | 13 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
1,075 | Azura/data | Azura | null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,076 | Azuris/DialoGPT-medium-envy | Azuris | gpt2 | 11 | 24 | 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 | 32 |
1,077 | Azuris/DialoGPT-medium-senorita | Azuris | gpt2 | 11 | 22 | transformers | 0 | conversational | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | false | 0 |
1,078 | Azuris/DialoGPT-small-envy | Azuris | gpt2 | 11 | 18 | transformers | 0 | conversational | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 26 |
1,079 | BAHIJA/distilbert-base-uncased-finetuned-cola | BAHIJA | distilbert | 38 | 23 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['glue'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'text-classification', 'dataset:glue', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index'] | true | true | true | 1,572 |
1,080 | BE/demo-sentiment2021 | BE | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,081 | BJTK2/model_name | BJTK2 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,082 | BME-TMIT/foszt2oszt | BME-TMIT | encoder-decoder | 7 | 19 | transformers | 1 | text2text-generation | true | false | false | null | ['hu'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'encoder-decoder', 'text2text-generation', 'hu', 'transformers', 'autotrain_compatible'] | false | true | true | 1,354 |
1,083 | BOON/electra-xlnet | BOON | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,084 | BOON/electra_qa | BOON | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
1,085 | BSC-LT/RoBERTalex | BSC-LT | roberta | 9 | 23 | transformers | 4 | fill-mask | true | false | false | apache-2.0 | ['es'] | ['legal_ES', 'temu_legal'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'es', 'dataset:legal_ES', 'dataset:temu_legal', 'arxiv:2110.12201', 'transformers', 'legal', 'spanish', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 1,241 |
1,086 | BSC-LT/gpt2-large-bne | BSC-LT | gpt2 | 5 | 36 | transformers | 0 | text-generation | true | false | false | apache-2.0 | ['es'] | ['bne'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'es', 'dataset:bne', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'license:apache-2.0'] | false | true | true | 2,676 |
1,087 | BSC-LT/roberta-base-biomedical-clinical-es | BSC-LT | roberta | 11 | 46 | transformers | 5 | fill-mask | true | false | false | apache-2.0 | ['es'] | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'es', 'arxiv:2109.03570', 'arxiv:2109.07765', 'transformers', 'biomedical', 'clinical', 'spanish', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 11,595 |
1,088 | BSC-LT/roberta-base-biomedical-es | BSC-LT | roberta | 11 | 38 | transformers | 3 | fill-mask | true | false | false | apache-2.0 | ['es'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'es', 'arxiv:2109.03570', 'arxiv:2109.07765', 'transformers', 'biomedical', 'spanish', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 10,778 |
1,089 | BSC-LT/roberta-base-bne-capitel-ner-plus | BSC-LT | roberta | 9 | 15 | transformers | 1 | token-classification | true | false | false | apache-2.0 | ['es'] | ['bne', 'capitel'] | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'ner', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 3,135 |
1,090 | BSC-LT/roberta-base-bne-capitel-ner | BSC-LT | roberta | 9 | 17 | transformers | 1 | token-classification | true | false | false | apache-2.0 | ['es'] | ['bne', 'capitel'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'ner', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 1,652 |
1,091 | BSC-LT/roberta-base-bne-capitel-pos | BSC-LT | roberta | 9 | 17 | transformers | 3 | token-classification | true | false | false | apache-2.0 | ['es'] | ['bne', 'capitel'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'pos', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 1,662 |
1,092 | BSC-LT/roberta-base-bne-sqac | BSC-LT | roberta | 9 | 20 | transformers | 3 | question-answering | true | false | false | apache-2.0 | ['es'] | ['BSC-TeMU/SQAC'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'question-answering', 'es', 'dataset:BSC-TeMU/SQAC', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'qa', 'question answering', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 1,622 |
1,093 | BSC-LT/roberta-base-bne | BSC-LT | roberta | 10 | 260 | transformers | 7 | fill-mask | true | false | false | apache-2.0 | ['es'] | ['bne'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'es', 'dataset:bne', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 2,808 |
1,094 | BSC-LT/roberta-base-ca | BSC-LT | roberta | 9 | 12 | transformers | 2 | fill-mask | true | false | false | apache-2.0 | ['ca'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'ca', 'transformers', 'masked-lm', 'BERTa', 'catalan', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 11,501 |
1,095 | BSC-LT/roberta-large-bne-capitel-ner | BSC-LT | roberta | 9 | 15 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['es'] | ['bne', 'capitel'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'ner', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 1,656 |
1,096 | BSC-LT/roberta-large-bne-capitel-pos | BSC-LT | roberta | 9 | 15 | transformers | 3 | token-classification | true | false | false | apache-2.0 | ['es'] | ['bne', 'capitel'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'pos', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 1,667 |
1,097 | BSC-LT/roberta-large-bne-sqac | BSC-LT | roberta | 9 | 22 | transformers | 3 | question-answering | true | false | false | apache-2.0 | ['es'] | ['BSC-TeMU/SQAC'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'question-answering', 'es', 'dataset:BSC-TeMU/SQAC', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'qa', 'question answering', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 1,627 |
1,098 | BSC-LT/roberta-large-bne | BSC-LT | roberta | 10 | 17 | transformers | 7 | fill-mask | true | false | false | apache-2.0 | ['es'] | ['bne'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'fill-mask', 'es', 'dataset:bne', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 2,814 |
1,099 | BSen/wav2vec2-base-timit-demo-colab | BSen | wav2vec2 | 14 | 12 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'transformers', 'generated_from_trainer', 'license:apache-2.0'] | true | true | true | 1,341 |
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