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
metadata
library_name: keras
tags:
- computer-vision
- generative
- variational-autoencoder
- vq-vae
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training Metrics
Model history needed
