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swapnilpote
/
table-transformer-detection

Object Detection
Transformers
PyTorch
table-transformer
Model card Files Files and versions
xet
Community
1

Instructions to use swapnilpote/table-transformer-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use swapnilpote/table-transformer-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="swapnilpote/table-transformer-detection")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("swapnilpote/table-transformer-detection")
    model = AutoModelForObjectDetection.from_pretrained("swapnilpote/table-transformer-detection")
  • Notebooks
  • Google Colab
  • Kaggle
table-transformer-detection
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  • 1 contributor
History: 11 commits
swapnilpote's picture
swapnilpote
Upload processor
823a80c almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    1.35 kB
    Upload TableTransformerForObjectDetection almost 3 years ago
  • preprocessor_config.json
    452 Bytes
    Upload processor almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    115 MB
    xet
    Upload TableTransformerForObjectDetection almost 3 years ago