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natope
/
random-all-q

Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use natope/random-all-q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use natope/random-all-q with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("natope/random-all-q")
    model = AutoModelForSeq2SeqLM.from_pretrained("natope/random-all-q")
  • Notebooks
  • Google Colab
  • Kaggle
random-all-q / runs
31.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 113 commits
natope's picture
natope
End of training
2c55a66 almost 3 years ago
  • Jun13_20-40-50_5081c7b9ec37
    End of training almost 3 years ago