Instructions to use GIanlucaRub/autoencoder_model_d_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use GIanlucaRub/autoencoder_model_d_0 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://GIanlucaRub/autoencoder_model_d_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e99ab8f6bddebd4cfacc0e0bccd764c1d70e3dab3c939dc723ade67ca22bb7b
- Size of remote file:
- 510 kB
- SHA256:
- 6dbd58b59c846128b4df3c38521cf6584b6496385f00618f3d7de7b2643bb240
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