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Neha-CanWill
/
layoutlm-funsd

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

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

  • Libraries
  • Transformers

    How to use Neha-CanWill/layoutlm-funsd with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Neha-CanWill/layoutlm-funsd")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Neha-CanWill/layoutlm-funsd")
    model = AutoModelForTokenClassification.from_pretrained("Neha-CanWill/layoutlm-funsd")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlm-funsd / logs
47.2 kB
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  • 1 contributor
History: 34 commits
Neha-CanWill's picture
Neha-CanWill
End of training
35eb996 verified about 2 years ago
  • events.out.tfevents.1709894034.0c59864ff64b.3471.0
    15.7 kB
    xet
    End of training about 2 years ago
  • events.out.tfevents.1710136741.1855972cf523.694.0
    15.7 kB
    xet
    End of training about 2 years ago
  • events.out.tfevents.1710154970.ip-172-31-23-111.10094.0
    15.7 kB
    xet
    End of training about 2 years ago