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DracolIA
/
BERT-Context-based-QA

Question Answering
Transformers
Safetensors
English
bert
Model card Files Files and versions
xet
Community

Instructions to use DracolIA/BERT-Context-based-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DracolIA/BERT-Context-based-QA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="DracolIA/BERT-Context-based-QA")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("DracolIA/BERT-Context-based-QA")
    model = AutoModelForQuestionAnswering.from_pretrained("DracolIA/BERT-Context-based-QA")
  • Notebooks
  • Google Colab
  • Kaggle
BERT-Context-based-QA
437 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
PascalZhan's picture
PascalZhan
Update README.md
a97a758 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    240 Bytes
    Update README.md about 2 years ago
  • config.json
    673 Bytes
    Upload V3 of the model about 2 years ago
  • model.safetensors
    436 MB
    xet
    Upload V3 of the model about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload V3 of the model about 2 years ago
  • tokenizer.json
    712 kB
    Upload V3 of the model about 2 years ago
  • tokenizer_config.json
    1.19 kB
    Upload V3 of the model about 2 years ago
  • vocab.txt
    232 kB
    Upload V3 of the model about 2 years ago