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nhung
/
layoutxlm-de-durch

Token Classification
Transformers
PyTorch
TensorBoard
layoutlmv2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use nhung/layoutxlm-de-durch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nhung/layoutxlm-de-durch with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="nhung/layoutxlm-de-durch")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTokenClassification
    
    processor = AutoProcessor.from_pretrained("nhung/layoutxlm-de-durch")
    model = AutoModelForTokenClassification.from_pretrained("nhung/layoutxlm-de-durch", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
layoutxlm-de-durch
1.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
nhung's picture
nhung
update model card README.md
2fe1864 over 3 years ago
  • runs
    End of training over 3 years ago
  • .gitattributes
    1.52 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 3000 over 3 years ago
  • README.md
    1.11 kB
    update model card README.md over 3 years ago
  • config.json
    6.74 kB
    Training in progress, step 3000 over 3 years ago
  • pytorch_model.bin
    1.48 GB
    xet
    End of training over 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Training in progress, step 3000 over 3 years ago
  • special_tokens_map.json
    279 Bytes
    Training in progress, step 3000 over 3 years ago
  • tokenizer_config.json
    699 Bytes
    Training in progress, step 3000 over 3 years ago
  • training_args.bin
    3.57 kB
    xet
    Training in progress, step 3000 over 3 years ago