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vdr-2b-multi-v1 is a multilingual embedding model designed for visual document retrieval across multiple languages and domains.
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- **Trained on ๐ฎ๐น Italian, ๐ช๐ธ Spanish, ๐ฌ๐ง English, ๐ซ๐ท French and ๐ฉ๐ช German:** together they form a new large, open-source, multilingual training dataset of 500k high-quality samples.
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vdr-2b-multi-v1 is a multilingual embedding model designed for visual document retrieval across multiple languages and domains. It encodes document page screenshots into dense single-vector representations, this will effectively allow to search and query visually rich multilingual documents without the need for any OCR, data extraction pipelines, chunking...
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- **Trained on ๐ฎ๐น Italian, ๐ช๐ธ Spanish, ๐ฌ๐ง English, ๐ซ๐ท French and ๐ฉ๐ช German:** together they form a new large, open-source, multilingual training dataset of 500k high-quality samples.
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