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[Docs] Checkout readthedocs to latest (#547)
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checkout readthedocs to latest
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20 changes: 10 additions & 10 deletions README.md
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<!--算法库 Badges-->

[![PyPI](https://img.shields.io/pypi/v/mmrazor)](https://pypi.org/project/mmrazor)
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmrazor.readthedocs.io/en/main/)
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmrazor.readthedocs.io/en/latest/)
[![badge](https://github.com/open-mmlab/mmrazor/workflows/build/badge.svg)](https://github.com/open-mmlab/mmrazor/actions)
[![codecov](https://codecov.io/gh/open-mmlab/mmrazor/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmrazor)
[![license](https://img.shields.io/github/license/open-mmlab/mmrazor.svg)](https://github.com/open-mmlab/mmrazor/blob/master/LICENSE)
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<!--Note:请根据各算法库自身情况设置项目和链接-->

[📘Documentation](https://mmrazor.readthedocs.io/en/main/) |
[🛠️Installation](https://mmrazor.readthedocs.io/en/main/get_started/installation.html) |
[👀Model Zoo](https://mmrazor.readthedocs.io/en/main/get_started/model_zoo.html) |
[📘Documentation](https://mmrazor.readthedocs.io/en/latest/) |
[🛠️Installation](https://mmrazor.readthedocs.io/en/latest/get_started/installation.html) |
[👀Model Zoo](https://mmrazor.readthedocs.io/en/latest/get_started/model_zoo.html) |
[🤔Reporting Issues](https://github.com/open-mmlab/mmrazor/issues/new/choose)

</div>
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With better modular design, developers can implement new model compression algorithms with only a few codes, or even by simply modifying config files.

About MMRazor's design and implementation, please refer to [tutorials](https://mmrazor.readthedocs.io/en/main/get_started/overview.html) for more details.
About MMRazor's design and implementation, please refer to [tutorials](https://mmrazor.readthedocs.io/en/latest/get_started/overview.html) for more details.

## Latest Updates

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2. Add a new pruning algorithm named GroupFisher.
3. Support distilling rtmdet with MMRazor.

To know more about the updates in MMRazor 1.0, please refer to [Changelog](https://mmrazor.readthedocs.io/en/main/notes/changelog.html) for more details!
To know more about the updates in MMRazor 1.0, please refer to [Changelog](https://mmrazor.readthedocs.io/en/latest/notes/changelog.html) for more details!

## Benchmark and model zoo

Results and models are available in the [model zoo](https://mmrazor.readthedocs.io/en/main/get_started/model_zoo.html).
Results and models are available in the [model zoo](https://mmrazor.readthedocs.io/en/latest/get_started/model_zoo.html).

Supported algorithms:

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MMRazor depends on [PyTorch](https://pytorch.org/), [MMCV](https://github.com/open-mmlab/mmcv) and [MMEngine](https://github.com/open-mmlab/mmengine).

Please refer to [installation.md](https://mmrazor.readthedocs.io/en/main/get_started/installation.html) for more detailed instruction.
Please refer to [installation.md](https://mmrazor.readthedocs.io/en/latest/get_started/installation.html) for more detailed instruction.

## Getting Started

Please refer to [user guides](https://mmrazor.readthedocs.io/en/main/user_guides/index.html) for the basic usage of MMRazor. There are also [advanced guides](https://mmrazor.readthedocs.io/en/main/advanced_guides/index.html):
Please refer to [user guides](https://mmrazor.readthedocs.io/en/latest/user_guides/index.html) for the basic usage of MMRazor. There are also [advanced guides](https://mmrazor.readthedocs.io/en/latest/advanced_guides/index.html):

## Contributing

We appreciate all contributions to improve MMRazor.
Please refer to [CONTRUBUTING.md](https://mmrazor.readthedocs.io/en/main/notes/contribution_guide.html) for the contributing guideline.
Please refer to [CONTRUBUTING.md](https://mmrazor.readthedocs.io/en/latest/notes/contribution_guide.html) for the contributing guideline.

## Acknowledgement

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<!--算法库 Badges-->

[![PyPI](https://img.shields.io/pypi/v/mmrazor)](https://pypi.org/project/mmrazor)
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmrazor.readthedocs.io/en/main/)
[![docs](https://img.shields.io/badge/docs-latest-blue)](https://mmrazor.readthedocs.io/en/latest/)
[![badge](https://github.com/open-mmlab/mmrazor/workflows/build/badge.svg)](https://github.com/open-mmlab/mmrazor/actions)
[![codecov](https://codecov.io/gh/open-mmlab/mmrazor/branch/master/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmrazor)
[![license](https://img.shields.io/github/license/open-mmlab/mmrazor.svg)](https://github.com/open-mmlab/mmrazor/blob/master/LICENSE)
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<!--Note:请根据各算法库自身情况设置项目和链接-->

[📘使用文档](https://mmrazor.readthedocs.io/en/main/) |
[🛠️安装教程](https://mmrazor.readthedocs.io/en/main/get_started/installation.html) |
[👀👀模型库](https://mmrazor.readthedocs.io/en/main/get_started/model_zoo.html) |
[📘使用文档](https://mmrazor.readthedocs.io/en/latest/) |
[🛠️安装教程](https://mmrazor.readthedocs.io/en/latest/get_started/installation.html) |
[👀👀模型库](https://mmrazor.readthedocs.io/en/latest/get_started/model_zoo.html) |
[🤔报告问题](https://github.com/open-mmlab/mmrazor/issues/new/choose)

</div>
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## 基准测试和模型库

测试结果可以在 [模型库](https://mmrazor.readthedocs.io/en/main/get_started/model_zoo.html) 中找到.
测试结果可以在 [模型库](https://mmrazor.readthedocs.io/en/latest/get_started/model_zoo.html) 中找到.

已经支持的算法:

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MMRazor 依赖 [PyTorch](https://pytorch.org/)[MMCV](https://github.com/open-mmlab/mmcv)

请参考[安装教程](https://mmrazor.readthedocs.io/en/main/get_started/installation.html)获取更详细的安装指南。
请参考[安装教程](https://mmrazor.readthedocs.io/en/latest/get_started/installation.html)获取更详细的安装指南。

## 快速入门

请参考 [用户指引](https://mmrazor.readthedocs.io/en/main/user_guides/index.html) 学习 MMRazor 的基本使用。 我们也提供了一些[进阶教程](https://mmrazor.readthedocs.io/en/main/advanced_guides/index.html):
请参考 [用户指引](https://mmrazor.readthedocs.io/en/latest/user_guides/index.html) 学习 MMRazor 的基本使用。 我们也提供了一些[进阶教程](https://mmrazor.readthedocs.io/en/latest/advanced_guides/index.html):

## 贡献指南

我们感谢所有的贡献者为改进和提升 MMRazor 所作出的努力。
请参考[贡献指南](https://mmrazor.readthedocs.io/en/main/notes/contribution_guide.html)来了解参与项目贡献的相关指引。
请参考[贡献指南](https://mmrazor.readthedocs.io/en/latest/notes/contribution_guide.html)来了解参与项目贡献的相关指引。

## 致谢

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