pipeline tag: text classification tags: sentence transformers vidore reranker qwen2 vl language: multilingual base model: Qwen/Qwen2 VL 2B Instruct inference: false license: cc by nc 4.0 library name: transformers Trained by Jina AI . GGUF Blog API AWS Azure GCP Arxiv jina reranker m0: Multilingual Multimodal Document Reranker Intended Usage & Model Info jina reranker m0 is our new multilingual multimodal reranker model for ranking visual documents across multiple languages: it accepts a query alongside a collection of visually rich document images, including pages with text, figures, tables, infographics, and various layouts across multiple domains and over 29 languages. It outputs a ranked list of documents ordered by their relevance to the input query. Compared to jina reranker v2 base multilingual , jina reranker m0 also improves text reranking for multilingual content, long documents, and code searching tasks. Architecture jina reranker m0 is built on a decoder only vision language model architecture, specifically: Base model : Qwen2 VL 2B Instruct , utilizing its vision encoder, projection layer, and language model Adaptation : Fine tuned the language model with LoRA (Low Ran…
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