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run_model_server.py | 8 months ago |
电商领域StructBERT中文文本相似度模型是在structbert-base-chinese预训练模型的基础上,使用电商领域标注数据训练出来的相似度匹配模型,特别适用于电商领域智能客服FAQ匹配,也可以用作其他相似度计算任务。模型基于Structbert-base-chinese,按照BERT文本对分类的方式,在电商领域数据上进行微调得到电商领域StructBERT文本相似度模型。
模型来源: https://modelscope.cn/models/damo/nlp_structbert_sentence-similarity_chinese-retail-base/summary
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》