Instructions to use leowajda/linear_diffusion_ema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use leowajda/linear_diffusion_ema 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_ema") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 0d76385581e1e51df91e8d7a4be32c426bc7168629eeb77158b11073d982f59e
- Size of remote file:
- 2.14 MB
- SHA256:
- eb1b3cbe26b32c7f274d10605e5346fc848d009229f1bfbc73d23d64040da5e5
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