Instructions to use gawoon/autoencoder-keras-mnist-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use gawoon/autoencoder-keras-mnist-demo with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://gawoon/autoencoder-keras-mnist-demo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f7b4684b6e52bdd72f85f69a3ea6195f48d6c9e37199728ee6e941c59c05511
- Size of remote file:
- 143 kB
- SHA256:
- ee131854e990c391c361396cda296cbb794eb0e20d916dd350e0d83b144e7318
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