Instructions to use WillNuyen228/auramask-cinema_3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use WillNuyen228/auramask-cinema_3d with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://WillNuyen228/auramask-cinema_3d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b525ce90fd6f275a3da49abaaaebf5ecd0d1c6cc95acefb8794d9b85f657ab4d
- Size of remote file:
- 14.3 MB
- SHA256:
- dda81ec0378a12339f959254ebbe4e4f53a6d89c344bd336b3ab62866fc995d3
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