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

  • Libraries
  • Transformers

    How to use chingoduc/layoutlm-funsd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="chingoduc/layoutlm-funsd")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("chingoduc/layoutlm-funsd")
    model = AutoModelForTokenClassification.from_pretrained("chingoduc/layoutlm-funsd")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlm-funsd / logs
19.9 kB
Ctrl+K
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  • 1 contributor
History: 16 commits
chingoduc's picture
chingoduc
End of training
bdea7b0 over 3 years ago
  • 1675584794.9690201
    Training in progress, epoch 1 over 3 years ago
  • events.out.tfevents.1675584794.9f093e0d0b32.10874.0
    14.2 kB
    xet
    End of training over 3 years ago