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Chetna19
/
chtn_bert_qa_model

Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Chetna19/chtn_bert_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Chetna19/chtn_bert_qa_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Chetna19/chtn_bert_qa_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Chetna19/chtn_bert_qa_model")
    model = AutoModelForQuestionAnswering.from_pretrained("Chetna19/chtn_bert_qa_model")
  • Notebooks
  • Google Colab
  • Kaggle
chtn_bert_qa_model / runs
11.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Chetna19's picture
Chetna19
End of training
3046d96 over 3 years ago
  • Mar01_12-43-17_6c540321703b
    End of training over 3 years ago