* feat: remove dummpy code, magic_pdf/cli, magic_pdf/train_utils

* feat: expose version in command line

---------
Co-authored-by: shenguanlin <shenguanlin@pjlab.org.cn>

- Adjust command installation format for PaddlePaddle GPU.
- Clarify instruction numbering for testing OCR acceleration.

Update the Ubuntu CUDA Acceleration setup guide to reflect the correct user directory
path and improve the clarity of instructions. Remove references to Windows and macOS
as they are out of scope for this document. Ensure the configuration file copying
command is correctly represented for Linux users.

Update the link to the magic-pdf.template.json configuration template file in the
README_Ubuntu_CUDA_Acceleration_zh_CN.md document. The file path was previously
incorrect and has been amended to point to the correct location.

Update the instruction in README_Ubuntu_CUDA_Acceleration_zh_CN.md to reference
the correct section number for downloading the model weights. This change ensures
that users are directed to the correct location in the document for setting up the
model directory in the magic-pdf.json configuration.

docs: update Ubuntu CUDA acceleration guide for version 0.6.2- Add steps for Ubuntu 22.04 LTS installation.
- Detail the process of checking, installing, and configuring NVIDIA drivers.
- Include instructions for installing Anaconda and creating a specific environment.
- Provide guidance on installing magic-pdf and its dependencies.
- Add a note to verify magic-pdf version and report issues if necessary.
- Describe the process of downloading models and configuring the application.
- Include a sample command to run the application with CUDA acceleration.
- Add a note for enabling OCR CUDA acceleration with specific GPU requirements.

This update ensures users have the latest information for setting up CUDA accelerationwith magic-pdf on Ubuntu 22.04 LTS, specifically for version 0.6.2, and provides clearer
instructions on the installation and configuration process.

Restructured the how-to download models document for better clarity and
added sections on downloading models from ModelScope, including SDK and
Git download methods. Provided detailed steps for installing Git LFS and
checking model integrity after download. Also included recommendations
for moving the models to an SSD for better performance.

* feat: refractor cli command

* feat: add docs to describe the output files of cli

* feat: resove review comments

* feat: updat docs about middle.json

---------
Co-authored-by: shenguanlin <shenguanlin@pjlab.org.cn>

Update how_to_download_models_en.md

Change the URLs in the installation instructions to new mirrors that are expected to provide faster downloads for users. This update affects the installation guides for both detectron2 and magic-pdf in the Chinese documentation.

Update how_to_download_models_zh_cn.md

Reorganize the installation instructions for Magic-PDF to clarify the dependency on
detectron2 and provide a more straightforward installation process. The update includes
separating the dependency installation from the package installation and adding a note
about precompiled wheels for Python 3.10.

BREAKING CHANGE: The installation guide now assumes basic familiarity with detectron2
installation requirements. Users who need to compile detectron2 from source should refer
to the official detectron2 documentation.

Update the PyTorch installation command in the README files for both English and Chinese
versions to reflect the required version compatibility with CUDA 11.8. Include explicit
instructions to specify the PyTorch version to avoid automatic installation of higher,
unsupported versions. Additionally, clarify the importance of modifying the "device-mode"
parameter in the magic-pdf.json configuration file for proper CUDA device selection.

Update the PyTorch installation guide in both English and Chinese READMEs to explicitly
recommend using torch==2.3.1 and torchvision==0.18.1 for CUDA 11.8. Emphasize the
importance of specifying these versions to avoid compatibility issues with higher,
unsupported versions.

A pre-release version0.6.2b1 of magic-pdf is now available. This version includes
many fixes addressed in our logs but has not undergone full QA testing. Users are
advised to report any issues encountered or revert to version 0.6.1. The installationguides in both Japanese and Chinese READMEs have been updated to reflect the availability
of this pre-release version and the previous stable version.

BREAKING CHANGE: Installation commands now point to version 0.6.2b1 by default.
Users who wish to install the stable version 0.6.1 should follow the provided
command instead.

- Change the pip install command in README_zh-CN.md to reflect the new version 0.6.2b1.
- Include a notice about the pre-release of version 0.6.2beta, cautioning users about its未经完整QA测试的状态，并提供回退到0.6.1版本的指导。
- Verify the installed version with `magic-pdf --version` after installation to ensure
 the correct version is installed, addressing feedback about incorrect versions due to
 mirror source and dependency conflicts.

We have pre-released the 0.6.2 beta version, which addresses numerous issues
reported in our logs. This commit updates the installation guide in the README to
include information on how to install this beta version. Users are advised that
this build has not undergone full QA testing and may contain issues. A
revert instruction to version 0.6.1 is also provided for users who encounter
problems.

BREAKING CHANGE: Installation instructions now include beta version
information. Users should be aware of potential issues with the0.6.2 beta
version and consider reverting to 0.6.1 if necessary.

Add detailed instructions for installing git lfs on Linux, macOS, and Windows
to facilitate users in downloading models from ModelScope repository. The guide
is included in the `how_to_download_models_zh_cn.md` document.

use git lfs clone to download model from ModelScope

fix(readme): add China mirror for pip install in README_zh-CNAdd China mirror links for `pip install` commands in the Chinese README to improve
accessibility and speed up package installation for users in China.