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sshleifer
/
distilbart-xsum-12-1

Summarization
Transformers
PyTorch
JAX
English
bart
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use sshleifer/distilbart-xsum-12-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sshleifer/distilbart-xsum-12-1 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="sshleifer/distilbart-xsum-12-1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sshleifer/distilbart-xsum-12-1")
    model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/distilbart-xsum-12-1")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
distilbart-xsum-12-1
888 MB
Ctrl+K
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  • 1 contributor
History: 17 commits
valhalla's picture
valhalla
add flax model
e85cfe1 almost 5 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • flax_model.msgpack
    443 MB
    xet
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  • merges.txt
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  • pytorch_model.bin
    443 MB
    xet
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  • test_generations.txt
    1.36 kB
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  • tokenizer_config.json
    26 Bytes
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  • vocab.json
    899 kB
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