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vxbrandon
/
pruned_model

Question Answering
Transformers
PyTorch
TensorBoard
distilbert
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use vxbrandon/pruned_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="vxbrandon/pruned_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("vxbrandon/pruned_model")
    model = AutoModelForQuestionAnswering.from_pretrained("vxbrandon/pruned_model")
  • Notebooks
  • Google Colab
  • Kaggle
pruned_model / runs
20.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 35 commits
vxbrandon's picture
vxbrandon
Training in progress, step 13500
60c5fb7 almost 3 years ago
  • Jul28_00-39-05_69e414009aab
    Training in progress, step 500 almost 3 years ago
  • Jul28_01-56-49_69e414009aab
    Training in progress, step 13500 almost 3 years ago