Instructions to use csukuangfj/moonshine-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use csukuangfj/moonshine-fork with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://csukuangfj/moonshine-fork") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
4aff68a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7fc2ea6d695c32b8672271db0ede8eb6285e18cef37c13accbb1f92c83dc6bb6
size 6818248
|