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OWLab
/
Optic-flow-CNN-GELU-15x15

Keras
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Instructions to use OWLab/Optic-flow-CNN-GELU-15x15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use OWLab/Optic-flow-CNN-GELU-15x15 with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://OWLab/Optic-flow-CNN-GELU-15x15")
    
  • Notebooks
  • Google Colab
  • Kaggle
Optic-flow-CNN-GELU-15x15
1.25 GB
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  • 1 contributor
History: 3 commits
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OWLab
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  • README.md
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  • cnn_gelu_TR_15x15_6k_analytic_0.keras
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  • cnn_gelu_TR_15x15_6k_analytic_0.pickle

    Detected Pickle imports (4)

    • "numpy.ndarray",
    • "numpy.core.multiarray.scalar",
    • "numpy.dtype",
    • "numpy.core.multiarray._reconstruct"

    How to fix it?

    752 Bytes
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