Instructions to use leowajda/linear_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use leowajda/linear_diffusion with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://leowajda/linear_diffusion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bcca8510d2d330b7fe5a6ba55bb84deb4909ba0cb6eda1e96a96914bdcb8158
- Size of remote file:
- 5.2 MB
- SHA256:
- ed74fe35efafdb3e23b97390fb4b6e7def46c18881bbdc71966fe212c484eb5a
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