Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT, GPT-2 and word2vec embedding.
Project description
BAND:BERT Application aNd Deployment
Simple and efficient BERT model development and deployment, 简单高效的 BERT 模型开发和部署
BAND
BAND:BERT Application aNd Deployment
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目录
上手指南
开发前的配置要求
- xxxxx x.x.x
- xxxxx x.x.x
安装步骤
- Clone the repo
git clone https://github.com/SunYanCN/BAND.git
文件目录说明
filetree
├── ARCHITECTURE.md
├── LICENSE.txt
├── README.md
├── /account/
├── /bbs/
├── /docs/
│ ├── /rules/
│ │ ├── backend.txt
│ │ └── frontend.txt
├── manage.py
├── /oa/
├── /static/
├── /templates/
├── useless.md
└── /util/
部署
暂无
使用到的框架
作者
您可以通过以下方式联系我:
- Email: sunyanhust@163.com
- NLP技术QQ交流群:859886087
您也可以在贡献者名单中参看所有参与该项目的开发者。
贡献者
请阅读CONTRIBUTING.md 查阅为该项目做出贡献的开发者。
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- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
版权说明
该项目签署了MIT 授权许可,详情请参阅 LICENSE
版本控制
该项目使用Git进行版本管理。您可以在repository参看当前可用版本。
鸣谢
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