device agnostic pipelines testing (#27129)

* device agnostic pipelines testing

* pass torch_device

tests/pipelines/test_pipelines_text_classification.py

@@ -20,7 +20,7 @@ from transformers import (
     TextClassificationPipeline,
     pipeline,
 )
-from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, slow
+from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, slow, torch_device
 
 from .test_pipelines_common import ANY
 
@@ -96,13 +96,11 @@ class TextClassificationPipelineTests(unittest.TestCase):
 
     @require_torch
     def test_accepts_torch_device(self):
-        import torch
-
         text_classifier = pipeline(
             task="text-classification",
             model="hf-internal-testing/tiny-random-distilbert",
             framework="pt",
-            device=torch.device("cpu"),
+            device=torch_device,
         )
 
         outputs = text_classifier("This is great !")