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:
- 9a5b7a5753049fb985d9fd684bc1ccb9f7f42efb1cd1d3bb73b623f8103ba629
- Size of remote file:
- 55 Bytes
- SHA256:
- 13ded1188aa69595398de1ea4d92b431102fca46fa597982a261e366dd9f6bfd
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