refactor(pipeline): Utilize get_safe_torch_device for device assignment

- Replaced direct torch.device instantiation with get_safe_torch_device to ensure safe device handling.
- This change enhances code readability and maintains consistency in device management across the RobotProcessor class.

src/lerobot/processor/pipeline.py

@@ -28,6 +28,8 @@ import torch
 from huggingface_hub import ModelHubMixin, hf_hub_download
 from safetensors.torch import load_file, save_file
 
+from lerobot.utils.utils import get_safe_torch_device
+
 
 class TransitionKey(str, Enum):
     """Keys for accessing EnvTransition dictionary components."""
@@ -465,7 +467,7 @@ class RobotProcessor(ModelHubMixin):
         to the target device, and reload it. Only works for steps that implement
         both state_dict() and load_state_dict() methods.
         """
-        device = torch.device(device)
+        device = get_safe_torch_device(device)
 
         for step in self.steps:
             if hasattr(step, "state_dict") and hasattr(step, "load_state_dict"):