Instructions to use nateraw/test-save-keras-sequential with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nateraw/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://nateraw/test-save-keras-sequential") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 2131c331df3583b65b2ee11e957cd6c2183c8c21bd97baf19d6ea2c59466b251
- Size of remote file:
- 9 kB
- SHA256:
- ea74c95cb949b25d870a65d58845834666fe660eee2e2a62d37520e0d00ec3be
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