diff --git a/pretrainedmodels/models/resnext.py b/pretrainedmodels/models/resnext.py
index 394b8182..2ea086d8 100644
--- a/pretrainedmodels/models/resnext.py
+++ b/pretrainedmodels/models/resnext.py
@@ -39,7 +39,7 @@ class ResNeXt101_32x4d(nn.Module):
     def __init__(self, num_classes=1000):
         super(ResNeXt101_32x4d, self).__init__()
         self.num_classes = num_classes
-        self.features = resnext101_32x4d_features
+        self.features = resnext101_32x4d_features()
         self.avg_pool = nn.AvgPool2d((7, 7), (1, 1))
         self.last_linear = nn.Linear(2048, num_classes)
 
@@ -60,7 +60,7 @@ class ResNeXt101_64x4d(nn.Module):
     def __init__(self, num_classes=1000):
         super(ResNeXt101_64x4d, self).__init__()
         self.num_classes = num_classes
-        self.features = resnext101_64x4d_features
+        self.features = resnext101_64x4d_features()
         self.avg_pool = nn.AvgPool2d((7, 7), (1, 1))
         self.last_linear = nn.Linear(2048, num_classes)
 
diff --git a/pretrainedmodels/models/resnext_features/resnext101_32x4d_features.py b/pretrainedmodels/models/resnext_features/resnext101_32x4d_features.py
index 21ba0b25..1fdf29c0 100644
--- a/pretrainedmodels/models/resnext_features/resnext101_32x4d_features.py
+++ b/pretrainedmodels/models/resnext_features/resnext101_32x4d_features.py
@@ -42,7 +42,7 @@ def identity(x): return x
 
 def add(x, y): return x + y
 
-resnext101_32x4d_features = nn.Sequential( # Sequential,
+resnext101_32x4d_features = lambda: nn.Sequential( # Sequential,
     nn.Conv2d(3,64,(7, 7),(2, 2),(3, 3),1,1,bias=False),
     nn.BatchNorm2d(64),
     nn.ReLU(),
diff --git a/pretrainedmodels/models/resnext_features/resnext101_64x4d_features.py b/pretrainedmodels/models/resnext_features/resnext101_64x4d_features.py
index ac1d6bcc..9ccb065c 100644
--- a/pretrainedmodels/models/resnext_features/resnext101_64x4d_features.py
+++ b/pretrainedmodels/models/resnext_features/resnext101_64x4d_features.py
@@ -42,7 +42,7 @@ def identity(x): return x
 
 def add(x, y): return x + y
 
-resnext101_64x4d_features = nn.Sequential(#Sequential,
+resnext101_64x4d_features = lambda: nn.Sequential(#Sequential,
     nn.Conv2d(3, 64, (7, 7), (2, 2), (3, 3), 1, 1, bias = False),
     nn.BatchNorm2d(64),
     nn.ReLU(),
diff --git a/pretrainedmodels/version.py b/pretrainedmodels/version.py
index a9df0271..ce5153af 100644
--- a/pretrainedmodels/version.py
+++ b/pretrainedmodels/version.py
@@ -1,2 +1,2 @@
 from __future__ import print_function, division, absolute_import
-__version__ = '0.7.4'
+__version__ = '0.7.5'