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MBARKI
/
layoutlm-funsd

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

Instructions to use MBARKI/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MBARKI/layoutlm-funsd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="MBARKI/layoutlm-funsd")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MBARKI/layoutlm-funsd")
    model = AutoModelForTokenClassification.from_pretrained("MBARKI/layoutlm-funsd")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlm-funsd / logs
39.7 kB
Ctrl+K
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  • 1 contributor
History: 6 commits
MBARKI's picture
MBARKI
End of training
0788e37 over 3 years ago
  • 1676245848.025725
    Training in progress, epoch 1 over 3 years ago
  • 1677114018.4827216
    Training in progress, epoch 1 over 3 years ago
  • events.out.tfevents.1676245847.9620fdf4cf0a.6598.0
    14.2 kB
    xet
    End of training over 3 years ago
  • events.out.tfevents.1677114018.72d58ae38ca9.1179.0
    14.2 kB
    xet
    End of training over 3 years ago