diff --git a/src/transformers/integrations/fp8.py b/src/transformers/integrations/fp8.py
index a3a369059..2e11b889f 100644
--- a/src/transformers/integrations/fp8.py
+++ b/src/transformers/integrations/fp8.py
@@ -28,7 +28,6 @@ if is_accelerate_available():
     from accelerate import init_empty_weights
 
 
-
 logger = logging.get_logger(__name__)
 
 
diff --git a/tests/quantization/fp8_integration/test_fp8.py b/tests/quantization/fp8_integration/test_fp8.py
index f60d6bb81..f02dfc484 100644
--- a/tests/quantization/fp8_integration/test_fp8.py
+++ b/tests/quantization/fp8_integration/test_fp8.py
@@ -33,6 +33,7 @@ if is_torch_available():
 if is_accelerate_available():
     from accelerate import init_empty_weights
 
+
 @require_torch_gpu
 class FP8ConfigTest(unittest.TestCase):
     def test_to_dict(self):
@@ -200,6 +201,7 @@ class FP8QuantizerTest(unittest.TestCase):
 @require_torch_gpu
 class FP8LinearTest(unittest.TestCase):
     device = "cuda"
+
     def test_linear_preserves_shape(self):
         """
         Test that FP8Linear preserves shape when in_features == out_features.
@@ -218,7 +220,6 @@ class FP8LinearTest(unittest.TestCase):
         """
         from transformers.integrations import FP8Linear
 
-
         linear = FP8Linear(128, 256, device=self.device)
         x = torch.rand((1, 5, 128)).to(self.device)