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sshleifer
/
distilbart-cnn-12-6

Summarization
Transformers
PyTorch
JAX
Rust
English
bart
text2text-generation
Model card Files Files and versions
xet
Community
30

Instructions to use sshleifer/distilbart-cnn-12-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sshleifer/distilbart-cnn-12-6 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-cnn-12-6")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sshleifer/distilbart-cnn-12-6")
    model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/distilbart-cnn-12-6", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
distilbart-cnn-12-6
899 kB
Ctrl+K
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  • 3 contributors
History: 2 commits
system's picture
system HF Staff
Update vocab.json
5f3e046 over 6 years ago
  • .gitattributes
    345 Bytes
    initial commit over 6 years ago
  • vocab.json
    899 kB
    Update vocab.json over 6 years ago