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NoaCA14
/
QUAC-base-pipe-ae

Transformers
PyTorch
mt5
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use NoaCA14/QUAC-base-pipe-ae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NoaCA14/QUAC-base-pipe-ae with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("NoaCA14/QUAC-base-pipe-ae")
    model = AutoModelForSeq2SeqLM.from_pretrained("NoaCA14/QUAC-base-pipe-ae")
  • Notebooks
  • Google Colab
  • Kaggle
QUAC-base-pipe-ae / eval
2.59 MB
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  • 1 contributor
History: 1 commit
NoaCA14's picture
NoaCA14
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  • .ipynb_checkpoints
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  • metric.first.answer.context.answer.NoaCA14_quac_es.default.json
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  • samples.test.hyp.context.answer.NoaCA14_quac_es.default.txt
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  • samples.validation.hyp.context.answer.NoaCA14_quac_es.default.txt
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