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huolongshe d4ea6830e1 | 2 months ago | |
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app | 9 months ago | |
demo_data | 9 months ago | |
docs | 9 months ago | |
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README.md | 2 months ago | |
application.yml | 9 months ago | |
build-docker.sh | 9 months ago | |
pack_model.py | 9 months ago | |
pip-install-reqs.sh | 9 months ago | |
requirements.txt | 9 months ago | |
run_model_server.py | 9 months ago |
即给定一张文本图片,识别出图中所含文字并输出对应字符串。OFA(One-For-All)是通用多模态预训练模型,使用简单的序列到序列的学习框架统一模态(跨模态、视觉、语言等模态)和任务(如图片生成、视觉定位、图片描述、图片分类、文本生成等)。本模型是在对OFA的large模型版本基础上通过知识蒸馏进行轻量化而得到的tiny版本模型(参数量33M),方便用户部署在存储和计算资源受限的设备上。
https://modelscope.cn/models/damo/ofa_ocr-recognition_document_base_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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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》