Instructions to use zeromodels/moonshine_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/moonshine_tiny with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- 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
Upload kf_preprocessor.json with huggingface_hub
Browse files- kf_preprocessor.json +9 -0
kf_preprocessor.json
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{
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"library_name": "kerasformers",
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"kerasformers_version": "1.1.3",
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"preprocessor_module": "kerasformers.models.moonshine",
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"preprocessor_class": "MoonshineFeatureExtractor",
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"variant": "moonshine_tiny",
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"sampling_rate": 16000,
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"padding_value": 0.0
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}
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