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ghaith1997
/
layoutmv3-testing-document-classification

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

Instructions to use ghaith1997/layoutmv3-testing-document-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ghaith1997/layoutmv3-testing-document-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ghaith1997/layoutmv3-testing-document-classification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSequenceClassification
    
    processor = AutoProcessor.from_pretrained("ghaith1997/layoutmv3-testing-document-classification")
    model = AutoModelForSequenceClassification.from_pretrained("ghaith1997/layoutmv3-testing-document-classification")
  • Notebooks
  • Google Colab
  • Kaggle
layoutmv3-testing-document-classification
1.01 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
4d4a35e almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    95 Bytes
    Create README.md over 3 years ago
  • config.json
    1.27 kB
    Upload LayoutLMv3ForSequenceClassification over 3 years ago
  • model.safetensors
    504 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    504 MB
    xet
    Upload LayoutLMv3ForSequenceClassification over 3 years ago