Add Hindi हिन्दी and Arabic العربية Docs translations (#6428)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

docs/en/quickstart.md

@@ -8,7 +8,7 @@ keywords: Ultralytics installation, pip install Ultralytics, Docker install Ultr
 
 Ultralytics provides various installation methods including pip, conda, and Docker. Install YOLOv8 via the `ultralytics` pip package for the latest stable release or by cloning the [Ultralytics GitHub repository](https://github.com/ultralytics/ultralytics) for the most up-to-date version. Docker can be used to execute the package in an isolated container, avoiding local installation.
 
-!!! example "Install"
+!!! Example "Install"
 
     === "Pip install (recommended)"
         Install the `ultralytics` package using pip, or update an existing installation by running `pip install -U ultralytics`. Visit the Python Package Index (PyPI) for more details on the `ultralytics` package: [https://pypi.org/project/ultralytics/](https://pypi.org/project/ultralytics/).
@@ -39,7 +39,7 @@ Ultralytics provides various installation methods including pip, conda, and Dock
         conda install -c conda-forge ultralytics
         ```
 
-        !!! note
+        !!! Note
 
             If you are installing in a CUDA environment best practice is to install `ultralytics`, `pytorch` and `pytorch-cuda` in the same command to allow the conda package manager to resolve any conflicts, or else to install `pytorch-cuda` last to allow it override the CPU-specific `pytorch` package if necessary.
             ```bash
@@ -129,7 +129,7 @@ See the `ultralytics` [requirements.txt](https://github.com/ultralytics/ultralyt
   <strong>Watch:</strong> Ultralytics YOLO Quick Start Guide
 </p>
 
-!!! tip "Tip"
+!!! Tip "Tip"
 
     PyTorch requirements vary by operating system and CUDA requirements, so it's recommended to install PyTorch first following instructions at [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally).
 
@@ -141,7 +141,7 @@ See the `ultralytics` [requirements.txt](https://github.com/ultralytics/ultralyt
 
 The Ultralytics command line interface (CLI) allows for simple single-line commands without the need for a Python environment. CLI requires no customization or Python code. You can simply run all tasks from the terminal with the `yolo` command. Check out the [CLI Guide](usage/cli.md) to learn more about using YOLOv8 from the command line.
 
-!!! example
+!!! Example
 
     === "Syntax"
 
@@ -196,7 +196,7 @@ The Ultralytics command line interface (CLI) allows for simple single-line comma
         yolo cfg
         ```
 
-!!! warning "Warning"
+!!! Warning "Warning"
 
     Arguments must be passed as `arg=val` pairs, split by an equals `=` sign and delimited by spaces between pairs. Do not use `--` argument prefixes or commas `,` between arguments.
 
@@ -213,7 +213,7 @@ YOLOv8's Python interface allows for seamless integration into your Python proje
 
 For example, users can load a model, train it, evaluate its performance on a validation set, and even export it to ONNX format with just a few lines of code. Check out the [Python Guide](usage/python.md) to learn more about using YOLOv8 within your Python projects.
 
-!!! example
+!!! Example
 
     ```python
     from ultralytics import YOLO
@@ -247,7 +247,7 @@ The Ultralytics library provides a powerful settings management system to enable
 
 To gain insight into the current configuration of your settings, you can view them directly:
 
-!!! example "View settings"
+!!! Example "View settings"
 
     === "Python"
         You can use Python to view your settings. Start by importing the `settings` object from the `ultralytics` module. Print and return settings using the following commands:
@@ -271,7 +271,7 @@ To gain insight into the current configuration of your settings, you can view th
 
 Ultralytics allows users to easily modify their settings. Changes can be performed in the following ways:
 
-!!! example "Update settings"
+!!! Example "Update settings"
 
     === "Python"
         Within the Python environment, call the `update` method on the `settings` object to change your settings: