Instructions to use flackzz/whisper-medium-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use flackzz/whisper-medium-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'flackzz/whisper-medium-ONNX');
- Xet hash:
- d324622fdec2fedc12153583ed3b792038645c468005a98b88b83bab108dd382
- Size of remote file:
- 621 MB
- SHA256:
- eaa841d6b58be0371e792afee062d7281ec72fd02fb8ea8dd3a4f1443490ed35
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.