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:
- 2e1256ff01f5a25e6b30db46b8ea82cd81cb13306d5b2653b937be24079ad7d4
- Size of remote file:
- 528 Bytes
- SHA256:
- 909bf11268758e475302b2cfde98d13a37143fc28745f0ae6d1e263b7aded259
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