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 fastrtc-moonshine-onnx 20241016
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| File | Interpreter | ABI | Platform | Reset |
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| fastrtc_moonshine_onnx-20241016-py3-none-any.whl | Python 3 | none | any | Details |
Release files / fastrtc_moonshine_onnx-20241016-py3-none-any.whl
| Download URL | fastrtc_moonshine_onnx-20241016-py3-none-any.whl |
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| Size | 729.3 kB |
| Tags | Python 3 |
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