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:
- 661c92467c11b53467c8226dc523379c12b26f188978e3ab543ab75816013502
- Size of remote file:
- 59.9 kB
- SHA256:
- d74288b4442d519e30ba8a03a2a33c19f1784dc02f203c9cd4368a284e03a702
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