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avecoder
/
bert-finetuned-squad

Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
3

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "question-answering" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # pip install "transformers<5.0.0"
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="avecoder/bert-finetuned-squad")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("avecoder/bert-finetuned-squad")
    model = AutoModelForQuestionAnswering.from_pretrained("avecoder/bert-finetuned-squad", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-finetuned-squad / runs
52.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
avecoder's picture
avecoder
Training complete
d603bbd over 3 years ago
  • Jul03_11-44-16_b0534b6b4476
    Training complete over 3 years ago
  • Jun29_10-43-03_ea2434b99fa3
    Training complete over 3 years ago
  • Jun29_16-51-49_3854cd6c01ed
    Training in progress, epoch 2 over 3 years ago
  • Jun30_14-40-04_c08dad80f651
    Training in progress, epoch 1 over 3 years ago