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wdavies
/
extract-question-from-text

Question Answering
Transformers
ONNX
Safetensors
distilbert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="wdavies/extract-question-from-text")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("wdavies/extract-question-from-text")
    model = AutoModelForQuestionAnswering.from_pretrained("wdavies/extract-question-from-text")
  • Notebooks
  • Google Colab
  • Kaggle
extract-question-from-text
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  • 1 contributor
History: 8 commits
wdavies's picture
wdavies
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64f4eb3 verified about 2 years ago
  • onnx
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  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • LICENSE
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    initial commit about 2 years ago
  • README.md
    64 Bytes
    initial commit about 2 years ago
  • config.json
    562 Bytes
    Upload DistilBertForQuestionAnswering about 2 years ago
  • model.safetensors
    265 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.2 kB
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  • vocab.txt
    232 kB
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