Instructions to use lysandre/test-save-keras-sequential with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lysandre/test-save-keras-sequential with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://lysandre/test-save-keras-sequential") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c164c0ae2ea36edeafd1d8f275d33d8d2b3b721593abb58fa50266e7c6a1f33
- Size of remote file:
- 6.99 kB
- SHA256:
- 3ea1dc674e26d99af408d435dcb3c24494fa8054178ee11a9c3a8d0258a1963c
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