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hf-tiny-model-private
/
tiny-random-TableTransformerForObjectDetection

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

Instructions to use hf-tiny-model-private/tiny-random-TableTransformerForObjectDetection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-tiny-model-private/tiny-random-TableTransformerForObjectDetection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("object-detection", model="hf-tiny-model-private/tiny-random-TableTransformerForObjectDetection")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForObjectDetection
    
    processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-TableTransformerForObjectDetection")
    model = AutoModelForObjectDetection.from_pretrained("hf-tiny-model-private/tiny-random-TableTransformerForObjectDetection")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-TableTransformerForObjectDetection
207 MB
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
8147df9 over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    4.89 kB
    Upload tiny models for TableTransformerForObjectDetection about 3 years ago
  • model.safetensors
    103 MB
    xet
    Adding `safetensors` variant of this model over 2 years ago
  • preprocessor_config.json
    452 Bytes
    Upload tiny models for TableTransformerForObjectDetection about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    103 MB
    xet
    Upload tiny models for TableTransformerForObjectDetection about 3 years ago