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run_model_server.py | 8 months ago |
商品评价解析模型是在hfl/chinese-roberta-wwm-ext预训练模型的基础上,结合DIRECT模型,用10%商品评价解析数据集(训练集11.7w,验证集1.3w)训练出来的关系抽取模型。
DIRECT为达摩院自研模型,通过使用邻接表解决了实体嵌套问题,并优化了空间复杂度,此外通过“自适应多任务学习策略”提高了模型训练效果。
模型来源: https://www.modelscope.cn/models/damo/nlp_bert_relation-extraction_chinese-base-commerce/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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Python Shell Text Dockerfile
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》