Instructions to use Xenova/tiny-random-Swin2SRModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny-random-Swin2SRModel with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-feature-extraction', 'Xenova/tiny-random-Swin2SRModel');
- Xet hash:
- 1b974a3baaf6520e8217b4ab6a0f47b84cae1de37aae7455640439ab9a465b7a
- Size of remote file:
- 1.23 MB
- SHA256:
- f4748d944ba5821e34c21fdb220d5ad29a066f755cd94d974a56a89fb8996fb6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.