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sg485
/
table_transformer-orderstack-fine_tuned

Image Feature Extraction
Transformers
PyTorch
table-transformer
Model card Files Files and versions
xet
Community
1

Instructions to use sg485/table_transformer-orderstack-fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sg485/table_transformer-orderstack-fine_tuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="sg485/table_transformer-orderstack-fine_tuned")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("sg485/table_transformer-orderstack-fine_tuned")
    model = AutoModel.from_pretrained("sg485/table_transformer-orderstack-fine_tuned")
  • Notebooks
  • Google Colab
  • Kaggle
table_transformer-orderstack-fine_tuned
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  • 1 contributor
History: 15 commits
sg485's picture
sg485
Upload processor
376d164 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.33 kB
    Upload model over 2 years ago
  • preprocessor_config.json
    453 Bytes
    Upload processor over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    115 MB
    xet
    Upload model over 2 years ago