Instructions to use globalcptc/leaky_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use globalcptc/leaky_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://globalcptc/leaky_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 929139d730619e2d29eba934a1f45917dc1f92190acc9046fd16f64496372b89
- Size of remote file:
- 2.66 MB
- SHA256:
- 9cfb246446460dbda20091ad5fb6a65ca1fd65f4da96d0534f91f798725515d6
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