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sudoLife
/
tst-summarization

Summarization
Transformers
PyTorch
TensorBoard
Safetensors
English
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

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

  • Libraries
  • Transformers

    How to use sudoLife/tst-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="sudoLife/tst-summarization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sudoLife/tst-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("sudoLife/tst-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
tst-summarization / runs
57.4 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 216 commits
sudoLife's picture
sudoLife
End of training
ccd0acc almost 3 years ago
  • Jun07_10-21-24_p100-30
    Training in progress, step 9500 almost 3 years ago
  • Jun07_11-54-36_p100-30
    End of training almost 3 years ago