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Nadav
/
MacSQuAD

Question Answering
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Nadav/MacSQuAD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Nadav/MacSQuAD")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Nadav/MacSQuAD")
    model = AutoModelForQuestionAnswering.from_pretrained("Nadav/MacSQuAD")
  • Notebooks
  • Google Colab
  • Kaggle
MacSQuAD
435 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Nadav's picture
Nadav
Update README.md
0ef0521 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • README.md
    969 Bytes
    Update README.md about 4 years ago
  • config.json
    730 Bytes
    add model about 4 years ago
  • pytorch_model.bin
    434 MB
    xet
    add model about 4 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    457 kB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    401 Bytes
    add tokenizer about 4 years ago
  • vocab.txt
    227 kB
    add tokenizer about 4 years ago