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jinhybr
/
OCR-LayoutLMv3-Invoice

Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv3
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use jinhybr/OCR-LayoutLMv3-Invoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jinhybr/OCR-LayoutLMv3-Invoice with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="jinhybr/OCR-LayoutLMv3-Invoice")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("jinhybr/OCR-LayoutLMv3-Invoice")
    model = AutoModelForTokenClassification.from_pretrained("jinhybr/OCR-LayoutLMv3-Invoice")
  • Notebooks
  • Google Colab
  • Kaggle
OCR-LayoutLMv3-Invoice / logs
41.4 kB
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  • 1 contributor
History: 13 commits
jinhybr's picture
jinhybr
End of training
2f2477a over 3 years ago
  • 1667783647.4231527
    Training in progress, step 500 over 3 years ago
  • events.out.tfevents.1667783647.132-145-141-187.64914.0
    35.9 kB
    xet
    End of training over 3 years ago