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PageOrg
/
text_summarization

Transformers
ONNX
t5
text2text-generation
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use PageOrg/text_summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("PageOrg/text_summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("PageOrg/text_summarization")
  • Notebooks
  • Google Colab
  • Kaggle
text_summarization / onnx
788 MB
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  • 1 contributor
History: 1 commit
youfengy's picture
youfengy
Upload 15 files
1ec4fb4 verified almost 2 years ago
  • decoder_model.onnx
    167 MB
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  • decoder_model_merged.onnx
    167 MB
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  • decoder_model_merged_quantized.onnx
    42.4 MB
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  • decoder_model_quantized.onnx
    42.2 MB
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  • decoder_with_past_model.onnx
    154 MB
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  • decoder_with_past_model_quantized.onnx
    39 MB
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  • encoder_model.onnx
    141 MB
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  • encoder_model_quantized.onnx
    35.6 MB
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