Instructions to use Xenova/tiny-random-WhisperForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny-random-WhisperForConditionalGeneration with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('automatic-speech-recognition', 'Xenova/tiny-random-WhisperForConditionalGeneration');
- Xet hash:
- 7579466348be7824cf2d2e0b1308c6fea3f52d619b4e04432d77aaab3b12fd12
- Size of remote file:
- 4.29 MB
- SHA256:
- dcfa293f7781fd1dd3694d0e265aaeaa3a87eb0e1fd785b56cd39e91dd59a73b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.