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Ssunbell
/
layoutlmv2_large_sequence

Feature Extraction
Transformers
PyTorch
layoutlmv2
Model card Files Files and versions
xet
Community
1

Instructions to use Ssunbell/layoutlmv2_large_sequence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ssunbell/layoutlmv2_large_sequence with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Ssunbell/layoutlmv2_large_sequence")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Ssunbell/layoutlmv2_large_sequence")
    model = AutoModel.from_pretrained("Ssunbell/layoutlmv2_large_sequence", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlmv2_large_sequence
3.41 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
65e3bd0 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    2.75 kB
    Upload model over 3 years ago
  • model.safetensors
    1.71 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    1.71 GB
    xet
    Upload model over 3 years ago