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Mit1208
/
Med-Sum

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Mit1208/Med-Sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mit1208/Med-Sum with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Mit1208/Med-Sum")
    model = AutoModelForSeq2SeqLM.from_pretrained("Mit1208/Med-Sum")
  • Notebooks
  • Google Colab
  • Kaggle
Med-Sum
245 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Mit1208's picture
Mit1208
Update README.md
426751b over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
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  • config.json
    1.47 kB
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  • pytorch_model.bin
    242 MB
    xet
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  • special_tokens_map.json
    2.2 kB
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    2.35 kB
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  • training_args.bin
    3.58 kB
    xet
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