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jaynlp
/
t5-large-transferqa

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

Instructions to use jaynlp/t5-large-transferqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jaynlp/t5-large-transferqa with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("jaynlp/t5-large-transferqa")
    model = AutoModelForSeq2SeqLM.from_pretrained("jaynlp/t5-large-transferqa")
  • Notebooks
  • Google Colab
  • Kaggle
t5-large-transferqa
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  • 2 contributors
History: 4 commits
jshin49's picture
jshin49
Update README.md
ed9054d over 3 years ago
  • results
    t5_transferqa over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.99 kB
    Update README.md over 3 years ago
  • added_tokens.json
    48 Bytes
    t5_transferqa over 4 years ago
  • config.json
    1.38 kB
    t5_transferqa over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.95 GB
    xet
    t5_transferqa over 4 years ago
  • special_tokens_map.json
    1.83 kB
    t5_transferqa over 4 years ago
  • spiece.model
    792 kB
    xet
    t5_transferqa over 4 years ago
  • tokenizer_config.json
    2.19 kB
    t5_transferqa over 4 years ago