Instructions to use Xenova/siglip-base-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/siglip-base-patch16-384 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('zero-shot-image-classification', 'Xenova/siglip-base-patch16-384');
Download spiece.model from Xenova/siglip-base-patch16-384: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/Xenova/siglip-base-patch16-384/resolve/main/spiece.model
- Command line
-
hf download hf://Xenova/siglip-base-patch16-384/spiece.model
-
curl -L -o spiece.model https://huggingface.co/Xenova/siglip-base-patch16-384/resolve/main/spiece.model
798 kB
- Xet hash:
- 80004a3b080eadaf5b5506765c7446744ce341114fc14fa4f833585f39624696
- Size of remote file:
- 798 kB
- SHA256:
- 1e5036bed065526c3c212dfbe288752391797c4bb1a284aa18c9a0b23fcaf8ec
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