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mcurmei
/
flat_N_max

Question Answering
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use mcurmei/flat_N_max with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mcurmei/flat_N_max with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="mcurmei/flat_N_max")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("mcurmei/flat_N_max")
    model = AutoModelForQuestionAnswering.from_pretrained("mcurmei/flat_N_max")
  • Notebooks
  • Google Colab
  • Kaggle
flat_N_max / runs
11.2 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
mcurmei's picture
mcurmei
End of training
5b26833 about 4 years ago
  • May11_02-15-59_4eb494818909
    End of training about 4 years ago