Model card: link the interactive HF Space demo (contributed by Apolinario / HF open-source team)
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README.md
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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** is a **0.25B (250M) inference-free sparse retriever** for visual-document retrieval — retrieving image-based document pages (rendered PDFs, slides, scanned reports) from a text query.
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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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> 🚀 **Try it live:** an interactive demo of the `Quality` variant is available as a [Hugging Face Space](https://huggingface.co/spaces/hugging-apps/v-splade-document-retrieval) (see [`naver/v-splade-quality`](https://huggingface.co/naver/v-splade-quality)), kindly contributed by [Apolinário](https://huggingface.co/multimodalart) and the Hugging Face open-source team.
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## Model Summary
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**V-SPLADE** is a **0.25B (250M) inference-free sparse retriever** for visual-document retrieval — retrieving image-based document pages (rendered PDFs, slides, scanned reports) from a text query.
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