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:
- 5ad1c9aa9f4a0b19870abc680ff3c0838bc315b026a3cab2fe062617950caa58
- Size of remote file:
- 3.26 kB
- SHA256:
- 31a0e49bef4ded14f875bbf18a596bcc53db34295bdc25670d1d524b8f8b859f
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