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@@ -1067,8 +1067,7 @@ piccolo-large-zh-v2 currently ranks first on the C-MTEB list, leading the previo
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  piccolo-large-zh-v2 是一个通用embedding模型(中文), 由来自商汤科技的通用模型组完成训练,此次piccolo升级旨在更多地关注通用的下游finetune方式。我们将在近期更新我们的技术报告,同时详细技术细节也将在商汤4.23技术交流日披露: https://www.sensetime.com/cn。
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- piccolo-large-zh-v2 is an embedding model (Chinese), trained by the general model group from SenseTime Reserach. This piccolo upgrade aims to pay more attention to the general downstream finetune method.We will update our technical report in the near future, and detailed technical details will also be disclosed on SenseTime 4.23 Tech Day: https://www.sensetime.com/cn.
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  ## Usage
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  目前该模型暂时需要通过API来进行访问: https://platform.sensenova.cn/doc?path=/chat/Embeddings/Embeddings.md
 
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  piccolo-large-zh-v2 是一个通用embedding模型(中文), 由来自商汤科技的通用模型组完成训练,此次piccolo升级旨在更多地关注通用的下游finetune方式。我们将在近期更新我们的技术报告,同时详细技术细节也将在商汤4.23技术交流日披露: https://www.sensetime.com/cn。
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+ piccolo-large-zh-v2 is a Chinese embedding model developed by the general model group at SenseTime Research. This upgraded version of Piccolo aims to prioritize general downstream fine-tuning methods. We plan to release an updated technical report in the near future, and further technical details will be disclosed during the SenseTime Tech Day on April 23rd: https://www.sensetime.com/cn."
 
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  ## Usage
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  目前该模型暂时需要通过API来进行访问: https://platform.sensenova.cn/doc?path=/chat/Embeddings/Embeddings.md