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[README] Update README.md for documention (#9785)
* Update README.md * Update README.md * Update README_en.md
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README.md

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<p align="center">
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<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
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<a href="https://paddlenlp.readthedocs.io/en/latest/?badge=latest"><img src="https://readthedocs.org/projects/paddlenlp/badge/?version=latest">
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<a href="https://github.com/PaddlePaddle/PaddleNLP/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/PaddleNLP?color=ffa"></a>
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<a href=""><img src="https://img.shields.io/badge/python-3.7+-aff.svg"></a>
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<a href=""><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a>
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<a href="https://pypi.org/project/paddlenlp/"><img src="https://img.shields.io/pypi/dm/paddlenlp?color=9cf"></a>
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<a href="https://github.com/PaddlePaddle/PaddleNLP/issues"><img src="https://img.shields.io/github/issues/PaddlePaddle/PaddleNLP?color=9cc"></a>
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<a href="https://github.com/PaddlePaddle/PaddleNLP/stargazers"><img src="https://img.shields.io/github/stars/PaddlePaddle/PaddleNLP?color=ccf"></a>
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<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
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</p>
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<h4 align="center">
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大模型套件高性能推理模块内置动态插入和全环节算子融合策略,极大加快并行推理速度。底层实现细节封装化,实现开箱即用的高性能并行推理能力。
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## 文档
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更多详细文档, 请访问 [PaddleNLP Documentation](https://paddlenlp.readthedocs.io/).
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## 模型支持

README_en.md

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<p align="center">
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<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
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<a href="https://paddlenlp.readthedocs.io/en/latest/?badge=latest"><img src="https://readthedocs.org/projects/paddlenlp/badge/?version=latest">
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<a href="https://github.com/PaddlePaddle/PaddleNLP/releases"><img src="https://img.shields.io/github/v/release/PaddlePaddle/PaddleNLP?color=ffa"></a>
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<a href=""><img src="https://img.shields.io/badge/python-3.7+-aff.svg"></a>
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<a href=""><img src="https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-pink.svg"></a>
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<a href="https://pypi.org/project/paddlenlp/"><img src="https://img.shields.io/pypi/dm/paddlenlp?color=9cf"></a>
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<a href="https://github.com/PaddlePaddle/PaddleNLP/issues"><img src="https://img.shields.io/github/issues/PaddlePaddle/PaddleNLP?color=9cc"></a>
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<a href="https://github.com/PaddlePaddle/PaddleNLP/stargazers"><img src="https://img.shields.io/github/stars/PaddlePaddle/PaddleNLP?color=ccf"></a>
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<a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache%202-dfd.svg"></a>
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</p>
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<h4 align="center">
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The high-performance inference module of the large model toolkit incorporates dynamic insertion and operator fusion strategies throughout the entire process, greatly accelerating parallel inference speed. The underlying implementation details are encapsulated, enabling out-of-the-box high-performance parallel inference capabilities.
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## Documentation
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For detailed documentation, visit the [PaddleNLP Documentation](https://paddlenlp.readthedocs.io/).
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## Support Models
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### Pip Installation
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```shell
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pip install --upgrade paddlenlp==3.0.0b2
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pip install --upgrade paddlenlp==3.0.0b3
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```
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or you can install the latest develop branch code with the following command:

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