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Tornaid
/
LayoutLMv2_D3_Classifier

Text Classification
Transformers
Safetensors
layoutlmv2
Model card Files Files and versions
xet
Community

Instructions to use Tornaid/LayoutLMv2_D3_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tornaid/LayoutLMv2_D3_Classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Tornaid/LayoutLMv2_D3_Classifier")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSequenceClassification
    
    processor = AutoProcessor.from_pretrained("Tornaid/LayoutLMv2_D3_Classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Tornaid/LayoutLMv2_D3_Classifier")
  • Notebooks
  • Google Colab
  • Kaggle
LayoutLMv2_D3_Classifier
802 MB
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  • 1 contributor
History: 3 commits
Tornaid's picture
Tornaid
Delete README.md
e750a9d verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    3.61 kB
    Upload 6 files over 2 years ago
  • model.safetensors
    802 MB
    xet
    Upload 6 files over 2 years ago
  • preprocessor_config.json
    261 Bytes
    Upload 6 files over 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload 6 files over 2 years ago
  • tokenizer_config.json
    1.56 kB
    Upload 6 files over 2 years ago
  • vocab.txt
    232 kB
    Upload 6 files over 2 years ago