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run_model_server.py | 8 months ago |
本项目为CLIP模型的中文版本,使用大规模中文数据进行训练(~2亿图文对),可用于图文检索和图像、文本的表征提取,应用于搜索、推荐等应用场景。CLIP模型是来自OpenAI的经典图文表征模型,其采用双塔模型结构,利用大规模图文对平行语料进行对比学习,从而能够实现图片和文本的跨模态语义特征抽取。
模型来源: https://modelscope.cn/models/damo/multi-modal_clip-vit-base-patch16_zh/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》