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autoevaluate
/
summarization

Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
9

Instructions to use autoevaluate/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autoevaluate/summarization 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="autoevaluate/summarization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("autoevaluate/summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("autoevaluate/summarization")
  • Notebooks
  • Google Colab
  • Kaggle
summarization / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
lewtun's picture
lewtun HF Staff
End of training
8d47008 almost 4 years ago
  • May28_12-29-20_109bd6632573
    Training in progress, step 500 almost 4 years ago
  • May28_12-50-28_109bd6632573
    End of training almost 4 years ago