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:
- 8f605976124ac4db07b508f198096b95ebbe572de91ec78dfecf0940dd3c4fa1
- Size of remote file:
- 58 Bytes
- SHA256:
- fbb409e50a4d59fb105d3877a9b248ac3fe677913191ae201c0cc1bf0475e186
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