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SalML
/
DETR-table-structure-recognition

Object Detection
Transformers
PyTorch
English
detr
Model card Files Files and versions
xet
Community
1

Instructions to use SalML/DETR-table-structure-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SalML/DETR-table-structure-recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="SalML/DETR-table-structure-recognition")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("SalML/DETR-table-structure-recognition")
    model = AutoModelForObjectDetection.from_pretrained("SalML/DETR-table-structure-recognition", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • The models are taken from https://github.com/microsoft/table-transformer/
  • Original model now on MSFT org: https://huggingface.co/microsoft/table-transformer-structure-recognition

The models are taken from https://github.com/microsoft/table-transformer/

Original model now on MSFT org: https://huggingface.co/microsoft/table-transformer-structure-recognition

I have built a HuggingFace Space: https://huggingface.co/spaces/SalML/TableTransformer2CSV It runs an OCR on the table-transformer output image to obtain a CSV downloadable table.

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