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rooftopcoder
/
bart-base-coqa

Transformers
PyTorch
TensorBoard
Safetensors
bart
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use rooftopcoder/bart-base-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rooftopcoder/bart-base-coqa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/bart-base-coqa")
    model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/bart-base-coqa")
  • Notebooks
  • Google Colab
  • Kaggle
bart-base-coqa
562 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 92 commits
rooftopcoder's picture
rooftopcoder
update model card README.md
d95a6da about 3 years ago
  • runs
    End of training about 3 years ago
  • .gitattributes
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  • .gitignore
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  • README.md
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  • all_results.json
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  • config.json
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  • eval_results.json
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  • generated_predictions.txt
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  • generation_config.json
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  • merges.txt
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  • predict_results.json
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  • pytorch_model.bin
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    xet
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • train_results.json
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  • trainer_state.json
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  • training_args.bin
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  • vocab.json
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