useful-moonshine-onnx
Moonshine is a family of speech-to-text models optimized for fast and accurate automatic speech recognition (ASR) on resource-constrained devices. This package contains inference code for using Moonshine models with the ONNX runtime. For more information, please refer to the project repo on GitHub.
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Release files for useful-moonshine-onnx 20251120
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Source distribution (sdist)
| File | Size | Uploaded | |
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| useful_moonshine_onnx-20251120.tar.gz | 721.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| useful_moonshine_onnx-20251120-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.5 MB
Release files / useful_moonshine_onnx-20251120.tar.gz
| Download URL | useful_moonshine_onnx-20251120.tar.gz |
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| Size | 721.7 kB |
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Release files / useful_moonshine_onnx-20251120-py3-none-any.whl
| Download URL | useful_moonshine_onnx-20251120-py3-none-any.whl |
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| Size | 729.6 kB |
| Tags | Python 3 |
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