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steveabecassis
/
t5-base-finetuned-xsum

Transformers
t5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use steveabecassis/t5-base-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use steveabecassis/t5-base-finetuned-xsum with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("steveabecassis/t5-base-finetuned-xsum")
    model = AutoModelForSeq2SeqLM.from_pretrained("steveabecassis/t5-base-finetuned-xsum")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-finetuned-xsum
3.23 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
SteveAbk6's picture
SteveAbk6
store
72620f8 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Model save over 3 years ago
  • README.md
    1.29 kB
    update model card README.md over 3 years ago
  • config.json
    1.48 kB
    Model save over 3 years ago
  • special_tokens_map.json
    2.2 kB
    Model save over 3 years ago
  • spiece.model
    792 kB
    xet
    Model save over 3 years ago
  • tokenizer.json
    2.42 MB
    Model save over 3 years ago
  • tokenizer_config.json
    2.35 kB
    Model save over 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Model save over 3 years ago