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:
- 976a6e6c737d520f5d60c466dcdd3e465d723bc26057ab7025b8d67cbb117197
- Size of remote file:
- 313 MB
- SHA256:
- 2507d090bf9f1d468f4c1cef274aa34eda025894118f5476e24a0d80308a5315
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.