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cgt
/
pert-qa

Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use cgt/pert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cgt/pert-qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="cgt/pert-qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("cgt/pert-qa")
    model = AutoModelForQuestionAnswering.from_pretrained("cgt/pert-qa")
  • Notebooks
  • Google Colab
  • Kaggle
pert-qa / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
cgt's picture
cgt
train completed.
fd7bfb5 over 3 years ago
  • Nov22_16-56-02_omnisky
    train completed. over 3 years ago
  • Nov23_13-50-55_omnisky
    train completed. over 3 years ago
  • Nov23_15-56-27_omnisky
    Training in progress, step 500 over 3 years ago
  • Nov23_15-57-26_omnisky
    train completed. over 3 years ago
  • Nov23_17-06-09_omnisky
    train completed. over 3 years ago