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Sharka
/
CIVQA_DVQA_LayoutXLM

Document Question Answering
Transformers
PyTorch
Czech
layoutlmv2
document question answering
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Sharka/CIVQA_DVQA_LayoutXLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="Sharka/CIVQA_DVQA_LayoutXLM")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
    
    processor = AutoProcessor.from_pretrained("Sharka/CIVQA_DVQA_LayoutXLM")
    model = AutoModelForDocumentQuestionAnswering.from_pretrained("Sharka/CIVQA_DVQA_LayoutXLM", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CIVQA_DVQA_LayoutXLM
1.54 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
Sharka's picture
Sharka
initial commit
07261b9 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago