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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://buio/vq-vae") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from buio/vq-vae: direct link, hf CLI and curl.
- Browser
- Download file 251 kB
-
https://huggingface.co/buio/vq-vae/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://buio/vq-vae@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/buio/vq-vae/resolve/refs%2Fpr%2F1/saved_model.pb
251 kB
- Xet hash:
- 46f0be44023a9cc5b22b9f78ca6ee5f1b6b61c834a83f8ca93bb4c149bc0f3bf
- Size of remote file:
- 251 kB
- SHA256:
- 27748e4c61b274a294f84e3c9c5bb8c33a16da7d363e83ac8dfe2995ddae9537
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