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:
- 24d52a8e3aa09ea2099cc9697ac0a202317bb6ac037b7074ecf327bbf06b200f
- Size of remote file:
- 527 Bytes
- SHA256:
- 2710ad8454cd3ad1fc254482fdaf8a80b938d9017c210da1fe3062b7b513db80
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