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:
- cea1ea2876b96d935f594aa41fb6e830f9aabf8092e80b4a7eee2871bb15d074
- Size of remote file:
- 14.5 MB
- SHA256:
- 987edfde6a874c6c322537f2301c6051c5367009dbd8d3b9c2fafd409299dcd4
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