Instructions to use Xenova/clip-vit-base-patch32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/clip-vit-base-patch32 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('zero-shot-image-classification', 'Xenova/clip-vit-base-patch32');
- Xet hash:
- c5caef8bde14268ad23f01116dd72135abbf6182d14b407e375336838372bd58
- Size of remote file:
- 64.5 MB
- SHA256:
- 73baab855d406190da9faa498cfedf65f15cf309f4cc7385b7b032e6d08e5c3a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.