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:
- 2eac43db2308982e0f59e91b1f901799ec3ce35c5cbd9003733755851bf051d0
- Size of remote file:
- 523 kB
- SHA256:
- f45e0452f65bb9a0bfa0ee8dccb008ba5f91469884a4f888201264aeae1dbf21
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