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iarfmoose
/
t5-base-question-generator

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

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

  • Libraries
  • Transformers

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

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("iarfmoose/t5-base-question-generator")
    model = AutoModelForSeq2SeqLM.from_pretrained("iarfmoose/t5-base-question-generator")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-question-generator
2.68 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 14 commits
cherry0328's picture
cherry0328
Update README.md
f3e4817 verified 4 months ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • README.md
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  • added_tokens.json
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  • config.json
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  • flax_model.msgpack
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
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  • special_tokens_map.json
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  • spiece.model
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  • tf_model.h5
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  • tokenizer_config.json
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