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:
- 61b21c23831358e149718751d4818f72add82ed363d49b05871538354ffe12d1
- Size of remote file:
- 3.62 MB
- SHA256:
- 7d83f36cb8d3964b43556ab0c7c336a0ead076f4649e65ab58abc606dc7becae
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.