[docs] add xpu device check (#34684)

* add XPU path

* use accelerate API

* Update docs/source/en/tasks/semantic_segmentation.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update more places with accelerate API

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

docs/source/en/tasks/image_to_image.md

@@ -37,8 +37,9 @@ We can now initialize the pipeline with a [Swin2SR model](https://huggingface.co
 ```python
 from transformers import pipeline
 import torch
-
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+from accelerate.test_utils.testing import get_backend
+# automatically detects the underlying device type (CUDA, CPU, XPU, MPS, etc.)
+device, _, _ = get_backend()
 pipe = pipeline(task="image-to-image", model="caidas/swin2SR-lightweight-x2-64", device=device)
 ```