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README: add Demo link to header + fold Space demo credit into the variant note (single blockquote)

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@@ -20,9 +20,11 @@ library_name: transformers
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  # V-SPLADE: Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search
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- **Paper:** [arXiv:2605.30917](https://arxiv.org/abs/2605.30917)  路  **Code:** [github.com/naver/v-splade](https://github.com/naver/v-splade)
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  > **This repository hosts the `Efficient` variant** (lower FLOPs). For the higher-quality checkpoint, see [`naver/v-splade-quality`](https://huggingface.co/naver/v-splade-quality).
 
 
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  ## Model Summary
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  # V-SPLADE: Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search
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+ **Paper:** [arXiv:2605.30917](https://arxiv.org/abs/2605.30917)  路  **Code:** [github.com/naver/v-splade](https://github.com/naver/v-splade)  路  **Demo:** [馃 Space](https://huggingface.co/spaces/hugging-apps/v-splade-document-retrieval)
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  > **This repository hosts the `Efficient` variant** (lower FLOPs). For the higher-quality checkpoint, see [`naver/v-splade-quality`](https://huggingface.co/naver/v-splade-quality).
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+ >
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+ > 馃殌 **Try it live:** an [interactive demo](https://huggingface.co/spaces/hugging-apps/v-splade-document-retrieval) of the `Quality` variant, kindly contributed by [Apolin谩rio](https://huggingface.co/multimodalart) and the Hugging Face open-source team.
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  ## Model Summary
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