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PrimeQA
/
t5-base-hybrid-question-generator

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use PrimeQA/t5-base-hybrid-question-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PrimeQA/t5-base-hybrid-question-generator with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("PrimeQA/t5-base-hybrid-question-generator")
    model = AutoModelForSeq2SeqLM.from_pretrained("PrimeQA/t5-base-hybrid-question-generator")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-hybrid-question-generator
895 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
riyazbhat's picture
riyazbhat
Update README.md
3a3c23d about 2 years ago
  • .gitattributes
    1.44 kB
    Adding model and tokenizer files over 3 years ago
  • README.md
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  • added_tokens.json
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  • config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
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  • special_tokens_map.json
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  • spiece.model
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  • tokenizer.json
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  • tokenizer_config.json
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