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Noureddinesa
/
Output_LayoutLMv3_v4

Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv3
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
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Instructions to use Noureddinesa/Output_LayoutLMv3_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Noureddinesa/Output_LayoutLMv3_v4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Noureddinesa/Output_LayoutLMv3_v4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("Noureddinesa/Output_LayoutLMv3_v4")
    model = AutoModelForTokenClassification.from_pretrained("Noureddinesa/Output_LayoutLMv3_v4")
  • Notebooks
  • Google Colab
  • Kaggle
Output_LayoutLMv3_v4 / runs
31.1 kB
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  • 1 contributor
History: 9 commits
Noureddinesa's picture
Noureddinesa
End of training
b64493b about 2 years ago
  • Apr08_11-32-22_ip-10-192-11-197
    End of training about 2 years ago