Instructions to use leowajda/linear_diffusion_ema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use leowajda/linear_diffusion_ema 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_ema") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7a742b9f9dfa23bfd774f8646ab7cb98dc8ab4da3cb12ed4593e7ace9b41436
- Size of remote file:
- 5.2 MB
- SHA256:
- 66205dea439af5cebee198b835f9ffaa9effbe949435e6b2d2e163acdc4dad70
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