Instructions to use RabiatS/moonshine-tiny-web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use RabiatS/moonshine-tiny-web with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'RabiatS/moonshine-tiny-web');
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Download README.md from RabiatS/moonshine-tiny-web: direct link, hf CLI and curl.
- Browser
- Download file 830 Bytes
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https://huggingface.co/RabiatS/moonshine-tiny-web/resolve/main/README.md
- Command line
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hf download hf://RabiatS/moonshine-tiny-web/README.md
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curl -L -o README.md https://huggingface.co/RabiatS/moonshine-tiny-web/resolve/main/README.md
830 Bytes
| license: mit | |
| base_model: UsefulSensors/moonshine-tiny | |
| library_name: transformers.js | |
| pipeline_tag: automatic-speech-recognition | |
| # Moonshine, for the web | |
| A copy of the ONNX files from [onnx-community/moonshine-tiny-ONNX](https://huggingface.co/onnx-community/moonshine-tiny-ONNX) at commit `a6da1241cd305dcd64eab1edbd615f2bb9aabb95`, trimmed to the files that [rabiatsadiq.com/lab](https://www.rabiatsadiq.com/lab/moonshine/) loads in the browser. It lives here so the page can't change or disappear under it. | |
| - Original model: Moonshine Tiny, by Moonshine AI (Useful Sensors), [https://github.com/moonshine-ai/moonshine](https://github.com/moonshine-ai/moonshine) | |
| - Base weights: [UsefulSensors/moonshine-tiny](https://huggingface.co/UsefulSensors/moonshine-tiny) | |
| - Licence: MIT, see LICENSE. The weights are unchanged. | |