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:
- 2976ac83d399f459cfc8994dd94b9a21e1d6c984b16e8277320fba8f15af98aa
- Size of remote file:
- 5.17 MB
- SHA256:
- 7a901814422f8727d5bd0621ecb6315b7bb493150d6f39798e587e32fd8ca672
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