Instructions to use megathumbs/siglip2-base-patch16-224-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use megathumbs/siglip2-base-patch16-224-ONNX with Transformers.js:
// โ ๏ธ Unknown pipeline tag
SigLIP 2 (base, patch16, 224) โ ONNX mirror for MegaThumbs
This repository is an unchanged mirror of the files MegaThumbs downloads for its image recognition:
- Source: onnx-community/siglip2-base-patch16-224-ONNX, revision
ba1f3b0843f24bc5417d38e19c37b287d719b2f4 - Original model: google/siglip2-base-patch16-224 by Google
- License: Apache License 2.0 (same as the original)
Only the files MegaThumbs needs are included (onnx/vision_model.onnx, onnx/text_model_quantized.onnx, tokenizer and config files). They are byte-identical to the source revision; MegaThumbs verifies every file by its SHA-256 checksum.
MegaThumbs: https://megathumbs.de
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