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jzju
/
dit-doclaynet

Image Segmentation
Transformers
Safetensors
beit
vision
dit
Model card Files Files and versions
xet
Community
1

Instructions to use jzju/dit-doclaynet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jzju/dit-doclaynet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-segmentation", model="jzju/dit-doclaynet")
    # Load model directly
    from transformers import AutoImageProcessor, BeitForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("jzju/dit-doclaynet")
    model = BeitForSemanticSegmentation.from_pretrained("jzju/dit-doclaynet")
  • Notebooks
  • Google Colab
  • Kaggle
dit-doclaynet
650 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
jzju's picture
jzju
update readme
2fe6dfe about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.39 kB
    update readme about 2 years ago
  • config.json
    1.86 kB
    Upload BeitForSemanticSegmentation about 2 years ago
  • model.safetensors
    650 MB
    xet
    Upload BeitForSemanticSegmentation about 2 years ago
  • preprocessor_config.json
    302 Bytes
    Update README.md about 2 years ago