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DunnBC22
/
bert-base-uncased-e_CARE

Question Answering
Transformers
PyTorch
TensorBoard
English
bert
multiple-choice
Generated from Trainer
Multiple Choice
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use DunnBC22/bert-base-uncased-e_CARE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DunnBC22/bert-base-uncased-e_CARE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="DunnBC22/bert-base-uncased-e_CARE")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultipleChoice
    
    tokenizer = AutoTokenizer.from_pretrained("DunnBC22/bert-base-uncased-e_CARE")
    model = AutoModelForMultipleChoice.from_pretrained("DunnBC22/bert-base-uncased-e_CARE")
  • 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 25 days ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened over 1 year ago by
SFconvertbot
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