Instructions to use UsefulSensors/moonshine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use UsefulSensors/moonshine with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://UsefulSensors/moonshine") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4f40f8e53bbba40d57eaeef3ea737f329980807934da850c927b9335b85650b
- Size of remote file:
- 108 MB
- SHA256:
- 6bd2ded3066fa2354b0defacfd1c061713b0d39c676d80a884ac93d7ec679591
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