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Sharka
/
CIVQA_LayoutXLM

Document Question Answering
Transformers
PyTorch
Czech
layoutlmv2
document question answering
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Sharka/CIVQA_LayoutXLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="Sharka/CIVQA_LayoutXLM")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("Sharka/CIVQA_LayoutXLM")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("Sharka/CIVQA_LayoutXLM")
  • Notebooks
  • Google Colab
  • Kaggle
CIVQA_LayoutXLM
5.77 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Sharka's picture
Sharka
Update README.md
3710c3e verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    993 Bytes
    Update README.md over 2 years ago
  • config.json
    2.84 kB
    Upload 2 files over 2 years ago
  • pytorch_model.bin
    5.77 MB
    xet
    Upload 2 files over 2 years ago