Instructions to use onnx-community/siglip2-large-patch16-256-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/siglip2-large-patch16-256-ONNX with Transformers.js:
// โ ๏ธ Unknown pipeline tag
https://huggingface.co/google/siglip2-large-patch16-256 with ONNX weights to be compatible with Transformers.js.
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using ๐ค Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
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google/siglip2-large-patch16-256