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tkazusa
/
lilt-en-funsd

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

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

  • Libraries
  • Transformers

    How to use tkazusa/lilt-en-funsd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="tkazusa/lilt-en-funsd")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tkazusa/lilt-en-funsd")
    model = AutoModelForTokenClassification.from_pretrained("tkazusa/lilt-en-funsd")
  • Notebooks
  • Google Colab
  • Kaggle
lilt-en-funsd / logs
65.3 kB
Ctrl+K
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  • 1 contributor
History: 39 commits
tkazusa's picture
tkazusa
End of training
9ab159b over 3 years ago
  • 1670417177.7599976
    Training in progress, step 200 over 3 years ago
  • 1670420416.4396665
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