Update README.md

README.md

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 # Model Introduction
 360Zhinao-search uses the self-developed BERT model as the base for multi-task fine-tuning, which has an average score of 75.05 on the Retrieval task on the C-MTEB-Retrieval benchmark, currently ranking first.
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 [C-MTEB-Retrieval leaderboard](https://huggingface.co/spaces/mteb/leaderboard) contains a total of 8 [query, passage] similarity retrieval subtasks in different fields, using NDCG@10 (Normalized Discounted Cumulative Gain @ 10) as the evaluation index.
 
 | Model | T2Retrieval | MMarcoRetrieval | DuRetrieval | CovidRetrieval | CmedqaRetrieval | EcomRetrieval | MedicalRetrieval | VideoRetrieval | Avg |  
@@ -609,4 +610,11 @@ if __name__ == "__main__":
 
 ## Reference
 [bge fine-tuning code](https://github.com/FlagOpen/FlagEmbedding/tree/master/examples/finetune)
-[C-MTEB official test script](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB)
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+[C-MTEB official test script](https://github.com/FlagOpen/FlagEmbedding/tree/master/C_MTEB)
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+## License
+The source code of this repository follows the open-source license Apache 2.0.
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+360​Zhinao open-source models support commercial use. If you wish to use these models or continue training them for commercial purposes, please contact us via email ([email protected]) to apply. For the specific license agreement, please see <<360 Zhinao Open-Source Model License>>.