Instructions to use nateraw/test-save-keras-sequential-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nateraw/test-save-keras-sequential-2 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-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c50383310f61bd68efd4e4d0e0d6af5200d851fa682259e3c7b9c37a2c07b31d
- Size of remote file:
- 59.8 kB
- SHA256:
- e4045a1f9aa0a4f702d19269f7c92fbf4c86c353f4cd927653712efeacbfd200
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