Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
huolongshe 43960eecd5 | 2 months ago | |
---|---|---|
app | 8 months ago | |
docs | 8 months ago | |
.gitignore | 8 months ago | |
Dockerfile | 8 months ago | |
LICENSE | 8 months ago | |
README.md | 2 months ago | |
application.yml | 8 months ago | |
build-docker.sh | 8 months ago | |
pack_model.py | 8 months ago | |
pip-install-reqs.sh | 8 months ago | |
requirements.txt | 8 months ago | |
run_model_server.py | 8 months ago |
StructBERT中文文本相似度模型是在structbert-base-chinese预训练模型的基础上,用atec、bq_corpus、chineseSTS、lcqmc、paws-x-zh五个数据集(52.5w条数据,正负比例0.48:0.52)训练出来的相似度匹配模型。
可以使用StructBERT中文文本相似度模型,对通用领域的文本相似度任务进行推理。 输入形如(文本A,文本B)的文本对数据,模型会给出该文本对的是否相似的标签(不相似, 相似)以及相应的概率。
模型来源: https://modelscope.cn/models/damo/nlp_structbert_sentence-similarity_chinese-large/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》
No Description
Python Shell Text Dockerfile other
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》