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wdavies
/
extract-answer-from-text

Question Answering
Transformers
google-tensorflow TensorFlow
ONNX
Safetensors
distilbert
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use wdavies/extract-answer-from-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use wdavies/extract-answer-from-text with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="wdavies/extract-answer-from-text")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("wdavies/extract-answer-from-text")
    model = AutoModelForQuestionAnswering.from_pretrained("wdavies/extract-answer-from-text", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
extract-answer-from-text / onnx
333 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
wdavies's picture
wdavies
Upload 2 files
7b4bfd6 verified over 2 years ago
  • model.onnx
    266 MB
    xet
    Upload 2 files over 2 years ago
  • model_quantized.onnx
    67 MB
    xet
    Upload 2 files over 2 years ago