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/ko/main_classes/callback.md

@@ -45,6 +45,7 @@ rendered properly in your Markdown viewer.
 - [`~integrations.DagsHubCallback`]는 [dagshub](https://dagshub.com/)이 설치되어 있으면 사용됩니다.
 - [`~integrations.FlyteCallback`]는 [flyte](https://flyte.org/)가 설치되어 있으면 사용됩니다.
 - [`~integrations.DVCLiveCallback`]는 [dvclive](https://dvc.org/doc/dvclive)가 설치되어 있으면 사용됩니다.
+- [`~integrations.SwanLabCallback`]는 [swanlab](https://swanlab.cn)가 설치되어 있으면 사용됩니다.
 
 패키지가 설치되어 있지만 해당 통합 기능을 사용하고 싶지 않다면, `TrainingArguments.report_to`를 사용하고자 하는 통합 기능 목록으로 변경할 수 있습니다 (예: `["azure_ml", "wandb"]`).
 
@@ -92,6 +93,9 @@ rendered properly in your Markdown viewer.
 [[autodoc]] integrations.DVCLiveCallback
     - setup
 
+[[autodoc]] integrations.SwanLabCallback
+    - setup
+
 ## TrainerCallback [[trainercallback]]
 
 [[autodoc]] TrainerCallback