diff --git a/models.py b/models.py
index adbee6ef..45899158 100644
--- a/models.py
+++ b/models.py
@@ -419,10 +419,10 @@ def __init__(self, yolov4conv137weight=None, n_classes=80, inference=False):
         self.down4 = DownSample4()
         self.down5 = DownSample5()
         # neck
-        self.neck = Neck(inference)
+        self.neek = Neck(inference)
         # yolov4conv137
         if yolov4conv137weight:
-            _model = nn.Sequential(self.down1, self.down2, self.down3, self.down4, self.down5, self.neck)
+            _model = nn.Sequential(self.down1, self.down2, self.down3, self.down4, self.down5, self.neek)
             pretrained_dict = torch.load(yolov4conv137weight)
 
             model_dict = _model.state_dict()
@@ -443,7 +443,7 @@ def forward(self, input):
         d4 = self.down4(d3)
         d5 = self.down5(d4)
 
-        x20, x13, x6 = self.neck(d5, d4, d3)
+        x20, x13, x6 = self.neek(d5, d4, d3)
 
         output = self.head(x20, x13, x6)
         return output