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PatSnap
/
Hiro-Layout

Object Detection
Transformers
ONNX
Chinese
English
document-ai
document-layout-analysis
patent
pdf
hiro
patsnap
Model card Files Files and versions
xet
Community

Instructions to use PatSnap/Hiro-Layout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PatSnap/Hiro-Layout with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="PatSnap/Hiro-Layout")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("PatSnap/Hiro-Layout", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Hiro-Layout
263 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
GradientDescentMe's picture
GradientDescentMe
Update disclaimer
a21f81c verified 2 days ago
  • layout_model
    Initial open-source release 5 days ago
  • .gitattributes
    304 Bytes
    Initial open-source release 5 days ago
  • .gitignore
    138 Bytes
    Update model card and clean release files 5 days ago
  • DISCLAIMER.md
    3.23 kB
    Update disclaimer 2 days ago
  • EVALUATION.md
    5.08 kB
    Update model card and clean release files 5 days ago
  • LICENSE
    10.2 kB
    Initial open-source release 5 days ago
  • NOTICE
    523 Bytes
    Initial open-source release 5 days ago
  • OPEN_SOURCE_CHECKLIST.md
    2.38 kB
    Initial open-source release 5 days ago
  • README.md
    9.17 kB
    Update model card and clean release files 5 days ago
  • README_zh.md
    8.91 kB
    Update model card and clean release files 5 days ago
  • labels.json
    2.22 kB
    Initial open-source release 5 days ago
  • requirements.txt
    49 Bytes
    Initial open-source release 5 days ago