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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
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#2 opened 11 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened 11 months ago by
SFconvertbot
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