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xfact
/
FiD-NQ

Transformers
PyTorch
English
t5
fid
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use xfact/FiD-NQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xfact/FiD-NQ with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, FiDT5
    
    tokenizer = AutoTokenizer.from_pretrained("xfact/FiD-NQ")
    model = FiDT5.from_pretrained("xfact/FiD-NQ")
  • Notebooks
  • Google Colab
  • Kaggle
FiD-NQ
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  • 1 contributor
History: 16 commits
euiyulsong's picture
euiyulsong
Update README.md
7889935 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
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  • added_tokens.json
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  • config.json
    1.45 kB
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  • fid.py
    13 kB
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  • pytorch_model.bin
    892 MB
    xet
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  • special_tokens_map.json
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  • tokenizer_config.json
    2.16 kB
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