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ax13
/
summarizer

Summarization
Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use ax13/summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ax13/summarizer 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="ax13/summarizer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ax13/summarizer")
    model = AutoModelForSeq2SeqLM.from_pretrained("ax13/summarizer")
  • Notebooks
  • Google Colab
  • Kaggle
summarizer / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
ax13's picture
ax13
Training complete
5286ef6 about 3 years ago
  • Apr25_00-53-55_5432bd2aa93e
    Training complete about 3 years ago