Instructions to use marcop/musika_ae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use marcop/musika_ae with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://marcop/musika_ae") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbe0281e3e3af0c005d062dfeaa6c1521fe858df9f93827a79dca5103d62240c
- Size of remote file:
- 26.6 MB
- SHA256:
- ffc4c0d6821e23247889a2252da86f9ba22ad6425d004790457e0c2e57e18c65
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