diff --git a/modelscope/models/audio/sv/ERes2NetV2.py b/modelscope/models/audio/sv/ERes2NetV2.py
index 85a44716..d842a094 100644
--- a/modelscope/models/audio/sv/ERes2NetV2.py
+++ b/modelscope/models/audio/sv/ERes2NetV2.py
@@ -38,7 +38,13 @@ class ReLU(nn.Hardtanh):
 
 class BasicBlockERes2NetV2(nn.Module):
 
-    def __init__(self, in_planes, planes, stride=1, baseWidth=26, scale=2, expansion=2):
+    def __init__(self,
+                 in_planes,
+                 planes,
+                 stride=1,
+                 baseWidth=26,
+                 scale=2,
+                 expansion=2):
         super(BasicBlockERes2NetV2, self).__init__()
         width = int(math.floor(planes * (baseWidth / 64.0)))
         self.width = width
@@ -70,7 +76,6 @@ class BasicBlockERes2NetV2(nn.Module):
                     kernel_size=1,
                     stride=stride,
                     bias=False), nn.BatchNorm2d(self.expansion * planes))
-        
 
     def forward(self, x):
         residual = x
@@ -103,7 +108,13 @@ class BasicBlockERes2NetV2(nn.Module):
 
 class BasicBlockERes2NetV2AFF(nn.Module):
 
-    def __init__(self, in_planes, planes, stride=1, baseWidth=26, scale=2, expansion=2):
+    def __init__(self,
+                 in_planes,
+                 planes,
+                 stride=1,
+                 baseWidth=26,
+                 scale=2,
+                 expansion=2):
         super(BasicBlockERes2NetV2AFF, self).__init__()
         width = int(math.floor(planes * (baseWidth / 64.0)))
         self.width = width
@@ -235,7 +246,14 @@ class ERes2NetV2(nn.Module):
         strides = [stride] + [1] * (num_blocks - 1)
         layers = []
         for stride in strides:
-            layers.append(block(self.in_planes, planes, stride, baseWidth=self.baseWidth, scale=self.scale, expansion = self.expansion))
+            layers.append(
+                block(
+                    self.in_planes,
+                    planes,
+                    stride,
+                    baseWidth=self.baseWidth,
+                    scale=self.scale,
+                    expansion=self.expansion))
             self.in_planes = planes * self.expansion
         return nn.Sequential(*layers)
 
@@ -285,7 +303,11 @@ class SpeakerVerificationERes2NetV2(TorchModel):
         self.feature_dim = 80
         self.device = create_device(self.other_config['device'])
 
-        self.embedding_model = ERes2NetV2(embed_dim=self.embed_dim, baseWidth=self.baseWidth, scale=self.scale, expansion=self.expansion)
+        self.embedding_model = ERes2NetV2(
+            embed_dim=self.embed_dim,
+            baseWidth=self.baseWidth,
+            scale=self.scale,
+            expansion=self.expansion)
 
         pretrained_model_name = kwargs['pretrained_model']
         self.__load_check_point(pretrained_model_name)
diff --git a/tests/pipelines/test_speaker_verification.py b/tests/pipelines/test_speaker_verification.py
index 0803403e..42eeb139 100644
--- a/tests/pipelines/test_speaker_verification.py
+++ b/tests/pipelines/test_speaker_verification.py
@@ -213,9 +213,11 @@ class SpeakerVerificationTest(unittest.TestCase):
         self.assertTrue(OutputKeys.SCORE in result)
 
     @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
-    def test_run_with_speaker_verification_eres2netv2ep4w24s4_zh_cn_common_16k(self):
+    def test_run_with_speaker_verification_eres2netv2ep4w24s4_zh_cn_common_16k(
+            self):
         logger.info(
-            'Run speaker verification for eres2netv2ep4_zh_cn_common_16k model')
+            'Run speaker verification for eres2netv2ep4_zh_cn_common_16k model'
+        )
         result = self.run_pipeline(
             model_id=self.eres2netv2ep4_zh_cn_16k_common_model_id,
             audios=[SPEAKER1_A_EN_16K_WAV, SPEAKER1_B_EN_16K_WAV],