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sshleifer
/
distilbart-xsum-1-1

Summarization
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
English
bart
text2text-generation
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use sshleifer/distilbart-xsum-1-1 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-1-1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sshleifer/distilbart-xsum-1-1")
    model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/distilbart-xsum-1-1")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Why does the example not make sense?

#3 opened about 3 years ago by
ystoneman

Adding `safetensors` variant of this model

#2 opened about 3 years ago by
SFconvertbot

Add evaluation results on the 3.0.0 config and test split of cnn_dailymail

#1 opened over 3 years ago by
autoevaluator
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