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:
- ac2bcf6a21c25017327e37f3b0fc4b48a0e75f6f25d0eb435e3673aae38aa6da
- Size of remote file:
- 4.29 MB
- SHA256:
- acd04dbfd1f482a428b71fe3da7ebec2a9468bfbf2c5cbc29f842f060b45f1d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.