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nathanx
/
CS685-text-summarizer

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

Instructions to use nathanx/CS685-text-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nathanx/CS685-text-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="nathanx/CS685-text-summarizer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("nathanx/CS685-text-summarizer")
    model = AutoModelForSeq2SeqLM.from_pretrained("nathanx/CS685-text-summarizer")
  • Notebooks
  • Google Colab
  • Kaggle

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  • runs
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  • .gitattributes
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  • .gitignore
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  • README.md
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    update model card README.md about 3 years ago
  • config.json
    1.74 kB
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  • generation_config.json
    262 Bytes
    Training complete about 3 years ago
  • merges.txt
    456 kB
    Training in progress, step 500 about 3 years ago
  • pytorch_model.bin
    558 MB
    xet
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer_config.json
    1.31 kB
    Training in progress, step 500 about 3 years ago
  • training_args.bin
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    xet
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  • vocab.json
    999 kB
    Training in progress, step 500 about 3 years ago