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tdickson17
/
Text_Summarization

Summarization
Transformers
Safetensors
t5
text2text-generation
politics,
summarization,
climate
political
party,
press
european
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use tdickson17/Text_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tdickson17/Text_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="tdickson17/Text_Summarization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("tdickson17/Text_Summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("tdickson17/Text_Summarization")
  • Notebooks
  • Google Colab
  • Kaggle
Text_Summarization
243 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 26 commits
tdickson17's picture
tdickson17
Update README.md
2bb7d94 verified 8 months ago
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