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google
/
pegasus-xsum

Summarization
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
English
pegasus
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Community
18

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

  • Libraries
  • Transformers

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

Adding `safetensors` variant of this model

#18 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#17 opened about 1 year ago by
SFconvertbot

Not generating proper summary

2
#16 opened almost 2 years ago by
saketjain05

Update tokenizer_config.json

#14 opened over 2 years ago by
SeemaChhatani03

Adding `safetensors` variant of this model

#13 opened over 2 years ago by
lcahill

Add evaluation results on the default config and test split of xsum

#12 opened over 2 years ago by
autoevaluator

Add evaluation results on the default config and test split of xsum

#11 opened over 2 years ago by
autoevaluator

Summary not generated for some data

#10 opened almost 3 years ago by
Tudip

Adding `safetensors` variant of this model

#9 opened about 3 years ago by
SFconvertbot

Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator

#8 opened over 3 years ago by
autoevaluator

Add evaluation results on the default config and test split of xsum

#7 opened over 3 years ago by
autoevaluator

Add evaluation results on the samsum config and validation split of samsum

#6 opened over 3 years ago by
autoevaluator
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