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textattack
/
facebook-bart-base-RTE

Transformers
PyTorch
bart
text2text-generation
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use textattack/facebook-bart-base-RTE with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-base-RTE")
    model = AutoModelForSeq2SeqLM.from_pretrained("textattack/facebook-bart-base-RTE")
  • Notebooks
  • Google Colab
  • Kaggle
facebook-bart-base-RTE
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History: 5 commits
system's picture
system HF Staff
Update tokenizer_config.json
bd442fb over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • README.md
    345 Bytes
    Update README.md over 5 years ago
  • log.txt
    3.09 kB
    Update log.txt over 5 years ago
  • tokenizer_config.json
    26 Bytes
    Update tokenizer_config.json over 5 years ago
  • train_args.json
    986 Bytes
    Update train_args.json over 5 years ago