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Correct provenance line

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  Core ML (`.mlpackage`) conversion of [`google/siglip2-base-patch16-256`](https://huggingface.co/google/siglip2-base-patch16-256) for on-device text and image embedding on Apple platforms. The image and text towers ship as separate models; both produce 768-dimensional, L2-normalized embeddings in a shared space, so image↔text similarity is a single dot product.
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- Converted and maintained by [nodevorg](https://huggingface.co/nodevorg) (used in production by [Alarian](https://alarian.ai) for semantic frame search). Not affiliated with Google.
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  ## Files
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  Core ML (`.mlpackage`) conversion of [`google/siglip2-base-patch16-256`](https://huggingface.co/google/siglip2-base-patch16-256) for on-device text and image embedding on Apple platforms. The image and text towers ship as separate models; both produce 768-dimensional, L2-normalized embeddings in a shared space, so image↔text similarity is a single dot product.
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+ Converted and maintained by [nodevorg](https://huggingface.co/nodevorg) for [Alarian](https://alarian.ai)'s semantic frame search. Not affiliated with Google.
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  ## Files
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