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fidhaph
/
finetuned-table

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

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

  • Libraries
  • Transformers

    How to use fidhaph/finetuned-table with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="fidhaph/finetuned-table")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("fidhaph/finetuned-table")
    model = AutoModelForObjectDetection.from_pretrained("fidhaph/finetuned-table")
  • Notebooks
  • Google Colab
  • Kaggle
finetuned-table
115 MB
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  • 1 contributor
History: 3 commits
fidhaph's picture
fidhaph
Upload processor
38ce139 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.3 kB
    Upload TableTransformerForObjectDetection about 3 years ago
  • preprocessor_config.json
    453 Bytes
    Upload processor about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    115 MB
    xet
    Upload TableTransformerForObjectDetection about 3 years ago