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:
- 1203f38bf8f19f18cdc8af76d6b2adebfc3f5fc0700ce13037bd8c855fa65b91
- Size of remote file:
- 5.16 MB
- SHA256:
- 0fb849f4a1bc037917fa0a585ab46d27f2ddb5c552af8d6696523fc06c95ea17
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