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Sennodipoi
/
LayoutLMv3-FUNSD-ft

Token Classification
Transformers
PyTorch
layoutlmv3
Model card Files Files and versions
xet
Community
1

Instructions to use Sennodipoi/LayoutLMv3-FUNSD-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Sennodipoi/LayoutLMv3-FUNSD-ft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Sennodipoi/LayoutLMv3-FUNSD-ft")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("Sennodipoi/LayoutLMv3-FUNSD-ft")
    model = AutoModelForTokenClassification.from_pretrained("Sennodipoi/LayoutLMv3-FUNSD-ft", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LayoutLMv3-FUNSD-ft
501 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Sennodipoi's picture
Sennodipoi
Update README.md
f25f643 almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    754 Bytes
    Update README.md almost 4 years ago
  • config.json
    1.34 kB
    add model almost 4 years ago
  • pytorch_model.bin
    501 MB
    xet
    add model almost 4 years ago