diff --git a/efficientnet_pytorch/model.py b/efficientnet_pytorch/model.py
index ce850cd..5f4ee78 100755
--- a/efficientnet_pytorch/model.py
+++ b/efficientnet_pytorch/model.py
@@ -376,7 +376,7 @@ def from_pretrained(cls, model_name, weights_path=None, advprop=False,
         """
         model = cls.from_name(model_name, num_classes=num_classes, **override_params)
         load_pretrained_weights(model, model_name, weights_path=weights_path,
-                                load_fc=(num_classes == 1000), advprop=advprop)
+                                load_fc=(num_classes == 1000) and model._global_params.include_top, advprop=advprop)
         model._change_in_channels(in_channels)
         return model
 
diff --git a/efficientnet_pytorch/utils.py b/efficientnet_pytorch/utils.py
index 826a627..c95317e 100755
--- a/efficientnet_pytorch/utils.py
+++ b/efficientnet_pytorch/utils.py
@@ -608,7 +608,7 @@ def load_pretrained_weights(model, model_name, weights_path=None, load_fc=True,
         state_dict.pop('_fc.weight')
         state_dict.pop('_fc.bias')
         ret = model.load_state_dict(state_dict, strict=False)
-        assert set(ret.missing_keys) == set(
+        assert not ret.missing_keys or set(ret.missing_keys) == set(
             ['_fc.weight', '_fc.bias']), 'Missing keys when loading pretrained weights: {}'.format(ret.missing_keys)
     assert not ret.unexpected_keys, 'Missing keys when loading pretrained weights: {}'.format(ret.unexpected_keys)