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Gutema
/
layoutlm-funsd-tf

Token Classification
Transformers
google-tensorflow TensorFlow
TensorBoard
layoutlm
generated_from_keras_callback
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use Gutema/layoutlm-funsd-tf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Gutema/layoutlm-funsd-tf")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Gutema/layoutlm-funsd-tf")
    model = AutoModelForTokenClassification.from_pretrained("Gutema/layoutlm-funsd-tf")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlm-funsd-tf
454 MB
Ctrl+K
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  • 2 contributors
History: 4 commits
Gutema's picture
Gutema
Upload processor
208f030 verified over 1 year ago
  • logs
    Training in progress epoch 0 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.83 kB
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  • config.json
    1.02 kB
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  • preprocessor_config.json
    272 Bytes
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  • special_tokens_map.json
    732 Bytes
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  • tf_model.h5
    451 MB
    xet
    Upload TFLayoutLMForTokenClassification over 1 year ago
  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.66 kB
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  • vocab.txt
    232 kB
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