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QQhahaha
/
Summarization

Transformers
PyTorch
Chinese
mt5
text2text-generation
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use QQhahaha/Summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("QQhahaha/Summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("QQhahaha/Summarization")
  • Notebooks
  • Google Colab
  • Kaggle
Summarization
1.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
QQhahaha's picture
QQhahaha
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  • README.md
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  • all_results.json
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  • config.json
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  • generation_config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.2 GB
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  • special_tokens_map.json
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  • spiece.model
    4.31 MB
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  • tokenizer.json
    16.3 MB
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  • tokenizer_config.json
    833 Bytes
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