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:
- 11a2a33781ec22e3cc2ad11208d9cb79e1cdf5ae6c2e11bb41d012076cde575f
- Size of remote file:
- 50.8 MB
- SHA256:
- 9aebbb210da611415c8e15b4bd7cc62c20d6a702169c709c3e6cc3912fb0aa84
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