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:
- 59e5a5716991c850c2e626b4a78cd9bf22b37492035b8934a304eea22d77a597
- Size of remote file:
- 336 MB
- SHA256:
- 21a0c2c96c4d44c29780d9ed66f48d3ed9ce0ac85d60733eebeecde48a6babdc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.