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BadreddineHug
/
LayoutLM_4

Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv3
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use BadreddineHug/LayoutLM_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BadreddineHug/LayoutLM_4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="BadreddineHug/LayoutLM_4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("BadreddineHug/LayoutLM_4")
    model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/LayoutLM_4")
  • Notebooks
  • Google Colab
  • Kaggle
LayoutLM_4 / runs
18.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
BadreddineHug's picture
BadreddineHug
End of training
e25e3d6 over 2 years ago
  • Aug27_13-57-40_9d4a9414b44f
    End of training over 2 years ago