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MaRiOrOsSi
/
t5-base-finetuned-question-answering

Transformers
PyTorch
google-tensorflow TensorFlow
English
t5
text2text-generation
Generative Question Answering
text-generation-inference
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use MaRiOrOsSi/t5-base-finetuned-question-answering with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("MaRiOrOsSi/t5-base-finetuned-question-answering")
    model = AutoModelForSeq2SeqLM.from_pretrained("MaRiOrOsSi/t5-base-finetuned-question-answering", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-finetuned-question-answering
1.78 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
MaRiOrOsSi's picture
MaRiOrOsSi
Update README.md
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  • .gitattributes
    1.22 kB
    initial commit over 4 years ago
  • README.md
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  • config.json
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  • pytorch_model.bin
    892 MB
    xet
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  • special_tokens_map.json
    1.79 kB
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  • spiece.model
    792 kB
    xet
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  • tf_model.h5
    892 MB
    xet
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  • tokenizer_config.json
    1.99 kB
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