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henrydz
/
layoutlmv3-document-classification-v1

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

Instructions to use henrydz/layoutlmv3-document-classification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use henrydz/layoutlmv3-document-classification-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="henrydz/layoutlmv3-document-classification-v1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSequenceClassification
    
    processor = AutoProcessor.from_pretrained("henrydz/layoutlmv3-document-classification-v1")
    model = AutoModelForSequenceClassification.from_pretrained("henrydz/layoutlmv3-document-classification-v1")
  • Notebooks
  • Google Colab
  • Kaggle
layoutlmv3-document-classification-v1
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
fd2ae15 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    2.2 kB
    Upload LayoutLMv3ForSequenceClassification almost 3 years ago
  • model.safetensors
    504 MB
    xet
    Adding `safetensors` variant of this model over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    504 MB
    xet
    Upload LayoutLMv3ForSequenceClassification almost 3 years ago