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jkawamoto
/
BARTxiv-ct2

Summarization
Transformers
English
ctranslate2
Model card Files Files and versions
xet
Community

Instructions to use jkawamoto/BARTxiv-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jkawamoto/BARTxiv-ct2 with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="jkawamoto/BARTxiv-ct2")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("jkawamoto/BARTxiv-ct2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BARTxiv-ct2
1.63 GB
Ctrl+K
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  • 1 contributor
History: 4 commits
jkawamoto's picture
jkawamoto
Update README.md
8099bc5 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    891 Bytes
    Update README.md almost 2 years ago
  • config.json
    223 Bytes
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  • merges.txt
    456 kB
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  • model.bin
    1.63 GB
    xet
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  • shared_vocabulary.json
    802 kB
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    389 Bytes
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  • vocab.json
    798 kB
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