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hf-tiny-model-private
/
tiny-random-EfficientNetModel

Image Feature Extraction
Transformers
PyTorch
efficientnet
Model card Files Files and versions
xet
Community
1

Instructions to use hf-tiny-model-private/tiny-random-EfficientNetModel 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-EfficientNetModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-EfficientNetModel")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-EfficientNetModel")
    model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-EfficientNetModel")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-EfficientNetModel
8.95 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
c88a681 verified over 1 year ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.27 kB
    Upload tiny models for EfficientNetModel about 3 years ago
  • model.safetensors
    4.44 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    469 Bytes
    Upload tiny models for EfficientNetModel about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    4.51 MB
    xet
    Upload tiny models for EfficientNetModel about 3 years ago