Instructions to use AM-Core/keras-native-safe-mode-output-manipulation-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AM-Core/keras-native-safe-mode-output-manipulation-poc with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AM-Core/keras-native-safe-mode-output-manipulation-poc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba939ecc2f38d6b66d58a385bebd5d75dcd5d7444b71a88dd85cd957437fd1b0
- Size of remote file:
- 3.26 kB
- SHA256:
- 35d904011f0c6ed439e43209c25968048a87b9e95f4ec6f8a8a20ff9c9bba803
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