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
metadata
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 at commit a6da1241cd305dcd64eab1edbd615f2bb9aabb95, trimmed to the files that rabiatsadiq.com/lab 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
- Base weights: UsefulSensors/moonshine-tiny
- Licence: MIT, see LICENSE. The weights are unchanged.