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jaimin
/
T5-ParaPhrase-Pytorch-Lightning

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use jaimin/T5-ParaPhrase-Pytorch-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jaimin/T5-ParaPhrase-Pytorch-Lightning with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("jaimin/T5-ParaPhrase-Pytorch-Lightning")
    model = AutoModelForSeq2SeqLM.from_pretrained("jaimin/T5-ParaPhrase-Pytorch-Lightning")
  • Notebooks
  • Google Colab
  • Kaggle
T5-ParaPhrase-Pytorch-Lightning
894 MB
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  • 1 contributor
History: 9 commits
jaimin's picture
jaimin
Upload config.json
36506b1 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • config.json
    1.48 kB
    Upload config.json over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Upload pytorch_model.bin over 3 years ago
  • spiece.model
    792 kB
    xet
    Upload spiece.model over 3 years ago
  • tokenizer.json
    1.39 MB
    Upload tokenizer.json over 3 years ago