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maidalun1020
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bce-reranker-base_v1

Text Classification
sentence-transformers
PyTorch
Transformers
xlm-roberta
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  主要特点(Key Features)：
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  - 中英日韩四个语种，以及中英日韩四个语种的跨语种能力(Multilingual and Crosslingual capability in English, Chinese, Japanese and Korean)；
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- - RAG优化，适配更多真实业务场景(RAG adaptation for more domains)；
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  - <a href="https://github.com/netease-youdao/BCEmbedding">BCEmbedding</a>适配长文本做rerank(Handle long passages reranking more than 512 limit in <a href="https://github.com/netease-youdao/BCEmbedding">BCEmbedding</a>)；
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  - RerankerModel可以提供可靠的 **相关性分数**，用于过滤低质量passage（RerankerModel provides **meaningful similarity score**, which help you figure out how relavent the query and passages are!）
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  主要特点(Key Features)：
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  - 中英日韩四个语种，以及中英日韩四个语种的跨语种能力(Multilingual and Crosslingual capability in English, Chinese, Japanese and Korean)；
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+ - RAG优化，适配更多真实业务场景(RAG adaptation for more domains, including Education, Law, Finance, Medical, Literature, FAQ, Textbook, Wikipedia, etc.)；
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  - <a href="https://github.com/netease-youdao/BCEmbedding">BCEmbedding</a>适配长文本做rerank(Handle long passages reranking more than 512 limit in <a href="https://github.com/netease-youdao/BCEmbedding">BCEmbedding</a>)；
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  - RerankerModel可以提供可靠的 **相关性分数**，用于过滤低质量passage（RerankerModel provides **meaningful similarity score**, which help you figure out how relavent the query and passages are!）
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