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
Updated to latest models converted using moonshine-tflite
Browse files
tflite/tiny/float/decoder.tfl
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tflite/tiny/float/decoder_initial.tfl
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tflite/tiny/float/encoder.tfl
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tflite/tiny/float/preprocessor.tfl
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