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doc2txt
/
layoutlmv2_cord

Token Classification
Transformers
Safetensors
layoutlmv2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use doc2txt/layoutlmv2_cord with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use doc2txt/layoutlmv2_cord with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="doc2txt/layoutlmv2_cord")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("doc2txt/layoutlmv2_cord")
    model = AutoModelForTokenClassification.from_pretrained("doc2txt/layoutlmv2_cord", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlmv2_cord
802 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
doc2txt's picture
doc2txt
Update README.md
b27b699 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • LayoutLMv2Main_cord2_gOcr_folder.py
    8.37 kB
    Upload LayoutLMv2Main_cord2_gOcr_folder.py over 2 years ago
  • README.md
    3.57 kB
    Update README.md over 2 years ago
  • all_results.json
    299 Bytes
    End of training over 2 years ago
  • config.json
    4.6 kB
    End of training over 2 years ago
  • model.safetensors
    802 MB
    xet
    End of training over 2 years ago
  • test_results.json
    299 Bytes
    End of training over 2 years ago
  • training_args.bin
    4.73 kB
    xet
    End of training over 2 years ago