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 config.json from Xenova/siglip-base-patch16-384: direct link, hf CLI and curl.
- Browser
- Download file 347 Bytes
-
https://huggingface.co/Xenova/siglip-base-patch16-384/resolve/main/config.json
- Command line
-
hf download hf://Xenova/siglip-base-patch16-384/config.json
-
curl -L -o config.json https://huggingface.co/Xenova/siglip-base-patch16-384/resolve/main/config.json
347 Bytes
| { | |
| "_name_or_path": "google/siglip-base-patch16-384", | |
| "architectures": [ | |
| "SiglipModel" | |
| ], | |
| "initializer_factor": 1.0, | |
| "model_type": "siglip", | |
| "text_config": { | |
| "model_type": "siglip_text_model" | |
| }, | |
| "transformers_version": "4.37.0.dev0", | |
| "vision_config": { | |
| "image_size": 384, | |
| "model_type": "siglip_vision_model" | |
| } | |
| } | |