Instructions to use nateraw/test-save-keras-sequential-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nateraw/test-save-keras-sequential-3 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-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b07b0301687eadd11b07f2cfdb0f24ad7df8ce38167b1e04d98a0610a4a3382b
- Size of remote file:
- 60.1 kB
- SHA256:
- 368f9da591d7db27d3f7c3dce9ebf8e547d7e30b53ca432c97d88193f69d7c28
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