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ryusangwon
/
bart-xsum

Transformers
PyTorch
bart
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community
2

Instructions to use ryusangwon/bart-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ryusangwon/bart-xsum with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ryusangwon/bart-xsum")
    model = AutoModelForSeq2SeqLM.from_pretrained("ryusangwon/bart-xsum")
  • Notebooks
  • Google Colab
  • Kaggle
bart-xsum
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ryusangwon's picture
ryusangwon
update model card README.md
6a9fa5f over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    End of training over 3 years ago
  • README.md
    1.91 kB
    update model card README.md over 3 years ago
  • config.json
    1.71 kB
    End of training over 3 years ago
  • generation_config.json
    292 Bytes
    End of training over 3 years ago
  • merges.txt
    456 kB
    End of training over 3 years ago
  • pytorch_model.bin
    1.63 GB
    xet
    End of training over 3 years ago
  • special_tokens_map.json
    280 Bytes
    End of training over 3 years ago
  • tokenizer.json
    2.11 MB
    End of training over 3 years ago
  • tokenizer_config.json
    385 Bytes
    End of training over 3 years ago
  • training_args.bin
    3.45 kB
    xet
    End of training over 3 years ago
  • vocab.json
    798 kB
    End of training over 3 years ago