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:
- 666dc5278496cfc5e0812b31e1ee6d9fb5d55b60f1c5946b1ec888700f461b3a
- Size of remote file:
- 2.13 MB
- SHA256:
- 54b92563458d084d10444d37c89395ff9f271eeaa8d94fd1311af2d341614939
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