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gsarti
/
mt5-small-question-generation

Transformers
PyTorch
google-tensorflow TensorFlow
JAX
TensorBoard
Italian
mt5
text2text-generation
italian
sequence-to-sequence
question-generation
squad_it
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use gsarti/mt5-small-question-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gsarti/mt5-small-question-generation with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("gsarti/mt5-small-question-generation")
    model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/mt5-small-question-generation")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-small-question-generation
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
gsarti's picture
gsarti
Update README.md
a48144d about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    7.25 kB
    Update README.md about 4 years ago
  • config.json
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  • events.out.tfevents.1642976850.t1v-n-9e38d79e-w-0.2061608.0.v2
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    xet
    Initial commit over 4 years ago
  • flax_model.msgpack
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.2 GB
    xet
    Initial commit over 4 years ago
  • special_tokens_map.json
    65 Bytes
    Initial commit over 4 years ago
  • spiece.model
    4.31 MB
    xet
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  • tf_model.h5
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    xet
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  • tokenizer.json
    8.33 MB
    Initial commit over 4 years ago
  • tokenizer_config.json
    414 Bytes
    Initial commit over 4 years ago