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mrp
/
bert-finetuned-squad

Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
6

Instructions to use mrp/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrp/bert-finetuned-squad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="mrp/bert-finetuned-squad")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("mrp/bert-finetuned-squad")
    model = AutoModelForQuestionAnswering.from_pretrained("mrp/bert-finetuned-squad")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#6 opened over 1 year ago by
SFconvertbot

Librarian Bot: Add base_model information to model

#5 opened over 2 years ago by
librarian-bot

Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator

#4 opened over 3 years ago by
autoevaluator

Add evaluation results on the adversarialQA config and validation split of adversarial_qa

#3 opened over 3 years ago by
autoevaluator
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