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google
/
pegasus-large

Summarization
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
English
pegasus
text2text-generation
Model card Files Files and versions
xet
Community
10

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

  • Libraries
  • Transformers

    How to use google/pegasus-large 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-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("google/pegasus-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-large")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
pegasus-large
2.28 GB
Ctrl+K
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  • 3 contributors
History: 12 commits
system's picture
system HF Staff
Update config.json
b3b66b0 over 5 years ago
  • .gitattributes
    345 Bytes
    initial commit almost 6 years ago
  • README.md
    3.33 kB
    Update README.md over 5 years ago
  • config.json
    2.87 kB
    Update config.json over 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    2.28 GB
    xet
    Update pytorch_model.bin over 5 years ago
  • special_tokens_map.json
    65 Bytes
    Update special_tokens_map.json almost 6 years ago
  • spiece.model
    1.91 MB
    Update spiece.model almost 6 years ago
  • tokenizer_config.json
    88 Bytes
    Update tokenizer_config.json almost 6 years ago