Instructions to use buio/vq-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use buio/vq-vae with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://buio/vq-vae") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46f0be44023a9cc5b22b9f78ca6ee5f1b6b61c834a83f8ca93bb4c149bc0f3bf
- Size of remote file:
- 251 kB
- SHA256:
- 27748e4c61b274a294f84e3c9c5bb8c33a16da7d363e83ac8dfe2995ddae9537
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