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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
561 MB
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History: 10 commits
system's picture
system HF Staff
Update pytorch_model.bin
a31e354 over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • README.md
    345 Bytes
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  • config.json
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  • log.txt
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  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    560 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • special_tokens_map.json
    772 Bytes
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  • tokenizer_config.json
    26 Bytes
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  • train_args.json
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  • vocab.json
    899 kB
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