Instructions to use Xenova/siglip-base-patch16-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/siglip-base-patch16-512 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-patch16-512');
Download onnx/model_quantized.onnx from Xenova/siglip-base-patch16-512: direct link, hf CLI and curl.
- Browser
- Download file 212 MB
-
https://huggingface.co/Xenova/siglip-base-patch16-512/resolve/main/onnx/model_quantized.onnx
- Command line
-
hf download hf://Xenova/siglip-base-patch16-512/onnx/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/Xenova/siglip-base-patch16-512/resolve/main/onnx/model_quantized.onnx
212 MB
- Xet hash:
- f088501d235adbe358477134fe157f73fa9b0851f2b28d28dcd0f5dfec4906d6
- Size of remote file:
- 212 MB
- SHA256:
- 246a3fa6be8c9058f56837a6ce228e6e2e7399dc04caac876498bc9a55390efc
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