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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, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("autoevaluate/summarization")
    model = AutoModelForMultimodalLM.from_pretrained("autoevaluate/summarization")
  • Notebooks
  • Google Colab
  • Kaggle
summarization
245 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
lewtun's picture
lewtun HF Staff
Update README.md
dfbd6e4 almost 4 years ago
  • runs
    End of training about 4 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 about 4 years ago
  • README.md
    1.83 kB
    Update README.md almost 4 years ago
  • config.json
    1.42 kB
    Training in progress, step 500 about 4 years ago
  • pytorch_model.bin
    242 MB
    xet
    End of training about 4 years ago
  • special_tokens_map.json
    1.79 kB
    Training in progress, step 500 about 4 years ago
  • tokenizer.json
    2.42 MB
    Training in progress, step 500 about 4 years ago
  • tokenizer_config.json
    1.92 kB
    Training in progress, step 500 about 4 years ago
  • training_args.bin
    3.38 kB
    xet
    Training in progress, step 500 about 4 years ago