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:
- 63050d1ab7a991ae5b656cb10dfb23c2cbd3c829576d961b166fdc014bedf9f7
- Size of remote file:
- 10.5 kB
- SHA256:
- 541c085396bf31ae331099a64418a87546803323532366ef43a3570176a77440
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