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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")
  • Notebooks
  • Google Colab
  • Kaggle
DETR-table-structure-recognition
231 MB
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  • 1 contributor
History: 11 commits
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SFconvertbot
Adding `safetensors` variant of this model
eb3f1f9 over 2 years ago
  • .gitattributes
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    Adding `safetensors` variant of this model over 2 years ago
  • README.md
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    added MSFT original model path over 3 years ago
  • config.json
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  • model.safetensors
    115 MB
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    Adding `safetensors` variant of this model over 2 years ago
  • preprocessor_config.json
    274 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    116 MB
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    Upload pytorch_model.bin over 3 years ago