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:
- c8dbf731f5d549edc2d9265fc42e7d163923534cc22510d3777d4a4fd4db29cc
- Size of remote file:
- 6.99 kB
- SHA256:
- 984a9446359e2f617aa110c1b20474d4c7aa38c5c08000e4cd478e6aa508023e
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