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google
/
pegasus-pubmed

Summarization
Transformers
PyTorch
English
pegasus
text2text-generation
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use google/pegasus-pubmed 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-pubmed")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("google/pegasus-pubmed")
    model = AutoModelForSeq2SeqLM.from_pretrained("google/pegasus-pubmed")
  • Notebooks
  • Google Colab
  • Kaggle
pegasus-pubmed
4.55 GB
Ctrl+K
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  • 1 contributor
History: 13 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
8222a77 about 3 years ago
  • .gitattributes
    399 Bytes
    Adding `safetensors` variant of this model about 3 years ago
  • README.md
    3.33 kB
    Update README.md over 5 years ago
  • config.json
    1.12 kB
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  • generation_config.json
    280 Bytes
    Adding generation config file(s) over 3 years ago
  • model.safetensors
    2.28 GB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    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