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README.md

@@ -1065,9 +1065,9 @@ piccolo-large-zh-v2 currently ranks first on the C-MTEB list, leading the previo
 
 ## piccolo-large-zh-v2
 
-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。
+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
 
-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."
+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
 
 ## Usage
 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