Visual Document Retrieval
PEFT
Safetensors
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  # Tevatron/OmniEmbed-v0.1
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  **OmniEmbed** is a powerful multi-modal embedding model built on [Qwen2.5-Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B) using our [Tevatron](https://github.com/texttron/tevatron/) toolkitโ€”a unified toolkit across scale, language, and modality for document retrieval.
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- OmniEmbed generates unified embeddings across multilingual text, images, audio, and video, enabling effective cross-modal retrieval for diverse applications.
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  ๐Ÿ“ Text โ€ƒ ๐Ÿ–ผ๏ธ Image โ€ƒ ๐ŸŽง Audio โ€ƒ ๐ŸŽฅ Video โ€ƒ ๐ŸŒ Multilingual
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  # Tevatron/OmniEmbed-v0.1
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  **OmniEmbed** is a powerful multi-modal embedding model built on [Qwen2.5-Omni-7B](https://huggingface.co/Qwen/Qwen2.5-Omni-7B) using our [Tevatron](https://github.com/texttron/tevatron/) toolkitโ€”a unified toolkit across scale, language, and modality for document retrieval.
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+ OmniEmbed generates unified embeddings across multilingual text, images, audio, and video, enabling effective cross-modal retrieval for diverse applications. [Paper](https://arxiv.org/pdf/2505.02466v1).
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  ๐Ÿ“ Text โ€ƒ ๐Ÿ–ผ๏ธ Image โ€ƒ ๐ŸŽง Audio โ€ƒ ๐ŸŽฅ Video โ€ƒ ๐ŸŒ Multilingual
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