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:
- d99e2e1e36779aae8c0725a6708ce5427c6199c5ca244b960317fb049aac517e
- Size of remote file:
- 526 kB
- SHA256:
- 5f918d6f3164440c06191f5a03e6c2873eb0079b7d17a6521faa7eb3f63ded8d
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