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fimu-docproc-research
/
CIVQA_layoutXLM_model

Document Question Answering
Transformers
PyTorch
layoutlmv2
Model card Files Files and versions
xet
Community

Instructions to use fimu-docproc-research/CIVQA_layoutXLM_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fimu-docproc-research/CIVQA_layoutXLM_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="fimu-docproc-research/CIVQA_layoutXLM_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("fimu-docproc-research/CIVQA_layoutXLM_model")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("fimu-docproc-research/CIVQA_layoutXLM_model")
  • Notebooks
  • Google Colab
  • Kaggle
CIVQA_layoutXLM_model
1.09 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Sharka's picture
Sharka
Update README.md
bf136d4 almost 3 years ago
  • .gitattributes
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    initial commit almost 3 years ago
  • README.md
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  • config.json
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  • pytorch_model.bin
    1.09 GB
    xet
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