Style/docs

README.md

@@ -38,6 +38,12 @@
     👋 join us on <a href="https://discord.gg/Tdedn9GTXq" target="_blank">Discord</a> and <a href="https://cdn.vansin.top/internlm/mineru.jpg" target="_blank">WeChat</a>
 </p>
 
+
+<!-- read the docs -->
+<p align="center">
+    read more docs on  <a href="https://mineru.readthedocs.io/en/latest/"> Read The Docs </a>
+</p>
+
 </div>
 
 # Changelog

README_zh-CN.md

@@ -38,6 +38,12 @@
     👋 join us on <a href="https://discord.gg/Tdedn9GTXq" target="_blank">Discord</a> and <a href="https://cdn.vansin.top/internlm/mineru.jpg" target="_blank">WeChat</a>
 </p>
 
+<!-- read the docs -->
+<p align="center">
+    read more docs on <a href="https://mineru.readthedocs.io/zh-cn/latest/"> Read The Docs </a>
+</p>
+
+
 </div>
 
 # 更新记录

next_docs/en/user_guide/install/boost_with_cuda.rst

@@ -9,16 +9,18 @@ appropriate guide based on your system:
 
 -  :ref:`ubuntu_22_04_lts_section`
 -  :ref:`windows_10_or_11_section`
+-  Quick Deployment with Docker
 
--  Quick Deployment with Docker > Docker requires a GPU with at least
-   16GB of VRAM, and all acceleration features are enabled by default.
+.. admonition:: Important
+   :class: tip
 
-.. note:: 
+   Docker requires a GPU with at least 16GB of VRAM, and all acceleration features are enabled by default.
 
-   Before running this Docker, you can use the following command to
-   check if your device supports CUDA acceleration on Docker. 
+   Before running this Docker, you can use the following command to check if your device supports CUDA acceleration on Docker. 
 
-   bash  docker run --rm --gpus=all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
+   .. code-block:: bash
+
+      bash  docker run --rm --gpus=all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
 
 .. code:: sh
 
@@ -42,8 +44,9 @@ Ubuntu 22.04 LTS
 If you see information similar to the following, it means that the
 NVIDIA drivers are already installed, and you can skip Step 2.
 
-Notice:``CUDA Version`` should be >= 12.1, If the displayed version
-number is less than 12.1, please upgrade the driver.
+.. note::
+
+   ``CUDA Version`` should be >= 12.1, If the displayed version number is less than 12.1, please upgrade the driver.
 
 .. code:: text
 
@@ -105,8 +108,10 @@ Specify Python version 3.10.
 
    pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com
 
-❗ After installation, make sure to check the version of ``magic-pdf``
-using the following command:
+.. admonition:: Important
+    :class: tip
+
+    ❗ After installation, make sure to check the version of ``magic-pdf`` using the following command:
 
 .. code:: sh
 
@@ -127,7 +132,10 @@ the script will automatically generate a ``magic-pdf.json`` file in the
 user directory and configure the default model path. You can find the
 ``magic-pdf.json`` file in your user directory.
 
-   The user directory for Linux is “/home/username”.
+.. admonition:: TIP
+    :class: tip
+
+    The user directory for Linux is “/home/username”.
 
 8. First Run
 ~~~~~~~~~~~~
@@ -216,16 +224,16 @@ Python version must be 3.10.
 
    pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com
 
-..
+.. admonition:: Important
+    :class: tip
 
-   ❗️After installation, verify the version of ``magic-pdf``:
+    ❗️After installation, verify the version of ``magic-pdf``:
 
-   .. code:: bash
+    .. code:: bash
 
       magic-pdf --version
 
-   If the version number is less than 0.7.0, please report it in the
-   issues section.
+    If the version number is less than 0.7.0, please report it in the issues section.
 
 5. Download Models
 ~~~~~~~~~~~~~~~~~~
@@ -240,7 +248,10 @@ the script will automatically generate a ``magic-pdf.json`` file in the
 user directory and configure the default model path. You can find the
 ``magic-pdf.json`` file in your 【user directory】 .
 
-   The user directory for Windows is “C:/Users/username”.
+.. admonition:: Tip
+    :class: tip
+
+    The user directory for Windows is “C:/Users/username”.
 
 7. First Run
 ~~~~~~~~~~~~
@@ -258,23 +269,23 @@ Download a sample file from the repository and test it.
 If your graphics card has at least 8GB of VRAM, follow these steps to
 test CUDA-accelerated parsing performance.
 
-1. **Overwrite the installation of torch and torchvision** supporting
-   CUDA.
+1. **Overwrite the installation of torch and torchvision** supporting CUDA.
 
-   ::
+.. code:: sh
 
-      pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
+   pip install --force-reinstall torch==2.3.1 torchvision==0.18.1 --index-url https://download.pytorch.org/whl/cu118
 
-   ..
+.. admonition:: Important
+    :class: tip
 
-      ❗️Ensure the following versions are specified in the command:
+    ❗️Ensure the following versions are specified in the command:
 
-      ::
+
+    .. code:: sh
 
          torch==2.3.1 torchvision==0.18.1
 
-      These are the highest versions we support. Installing higher
-      versions without specifying them will cause the program to fail.
+    These are the highest versions we support. Installing higher versions without specifying them will cause the program to fail.
 
 2. **Modify the value of ``"device-mode"``** in the ``magic-pdf.json``
    configuration file located in your user directory.