Instructions to use zeromodels/moonshine_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/moonshine_tiny with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/moonshine_tiny") - Notebooks
- Google Colab
- Kaggle
Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)
fc4d32d verified | { | |
| "library_name": "zeromodels", | |
| "zeromodels_version": "1.1.3", | |
| "preprocessor_module": "zeromodels.models.moonshine", | |
| "preprocessor_class": "MoonshineFeatureExtractor", | |
| "variant": "moonshine_tiny", | |
| "sampling_rate": 16000, | |
| "padding_value": 0.0 | |
| } |