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

- Xet hash:
- 034bf3732177296e9cfcf8719a0657c79e606cebcf986cf886ca5da11747056e
- Size of remote file:
- 2.08 MB
- SHA256:
- f9c1e1f420ceb922708c06954b69fd6241576bcec1bbbdcccd8451ed8e00448b
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