Integrate SwanLab for offline/online experiment tracking and local visualization (#36433)

* add swanlab integration

* feat(integrate): add SwanLab as an optional experiment tracking tool in transformers

- Integrated SwanLab into the transformers library as an alternative for experiment tracking.
- Users can now log training metrics, hyperparameters, and other experiment details to SwanLab by setting `report_to="swanlab"` in the `TrainingArguments`.
- Added necessary dependencies and documentation for SwanLab integration.

* Fix the spelling error of SwanLabCallback in callback.md

* Apply suggestions from code review

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Fix typo in comment

* Fix typo in comment

* Fix typos and update comments

* fix annotation

* chore: opt some comments

---------

Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: AAssets <20010618@qq.com>
Co-authored-by: ZeYi Lin <944270057@qq.com>
Co-authored-by: KAAANG <79990647+SAKURA-CAT@users.noreply.github.com>

docs/source/zh/main_classes/callback.md

@@ -37,6 +37,7 @@ Callbacks是“只读”的代码片段，除了它们返回的[TrainerControl]
 - [`~integrations.DagsHubCallback`]，如果安装了[dagshub](https://dagshub.com/)。
 - [`~integrations.FlyteCallback`]，如果安装了[flyte](https://flyte.org/)。
 - [`~integrations.DVCLiveCallback`]，如果安装了[dvclive](https://dvc.org/doc/dvclive)。
+- [`~integrations.SwanLabCallback`]，如果安装了[swanlab](http://swanlab.cn/)。
 
 如果安装了一个软件包，但您不希望使用相关的集成，您可以将 `TrainingArguments.report_to` 更改为仅包含您想要使用的集成的列表（例如 `["azure_ml", "wandb"]`）。
 
@@ -81,6 +82,9 @@ Callbacks是“只读”的代码片段，除了它们返回的[TrainerControl]
 [[autodoc]] integrations.DVCLiveCallback
     - setup
 
+[[autodoc]] integrations.SwanLabCallback
+    - setup
+
 ## TrainerCallback
 
 [[autodoc]] TrainerCallback