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run_model_server.py | 8 months ago |
百科关系抽取模型是在hfl/chinese-roberta-wwm-ext预训练模型的基础上,用duie数据集训练出来的关系抽取模型。你可以使用该模型,对通用领域的文本进行关系抽取。 输入自然语言文本数据,模型会给出形如(主语,谓语,宾语)的三元组列表,支持的关系包括:毕业院校、嘉宾、配音、主题曲、代言人、所属专辑、父亲、作者、上映时间、母亲、专业代码、占地面积、邮政编码、票房、注册资本、主角、妻子、编剧、气候、歌手、获奖、校长、创始人、首都、丈夫、朝代、饰演、面积、总部地点、祖籍、人口数量、制片人、修业年限、所在城市、董事长、作词、改编自、出品公司、导演、作曲、主演、主持人、成立日期、简称、海拔、号、国籍、官方语言。
模型来源: https://www.modelscope.cn/models/damo/nlp_bert_relation-extraction_chinese-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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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》