diff --git a/mtenn/conversion_utils/e3nn.py b/mtenn/conversion_utils/e3nn.py
index 188473d..7f303fe 100644
--- a/mtenn/conversion_utils/e3nn.py
+++ b/mtenn/conversion_utils/e3nn.py
@@ -10,12 +10,12 @@
 
 
 class E3NN(Network):
-    def __init__(self, model=None, model_kwargs=None):
+    def __init__(self, *args, model=None, **kwargs):
         ## If no model is passed, construct E3NN model with model_kwargs,
         ##  otherwise copy all parameters and weights over
         if model is None:
-            super(E3NN, self).__init__(**model_kwargs)
-            self.model_parameters = model_kwargs
+            super(E3NN, self).__init__(*args, **kwargs)
+            self.model_parameters = kwargs
         else:
             # this will need changing to include  model features of e3nn
             atomref = model.atomref.weight.detach().clone()
diff --git a/mtenn/conversion_utils/schnet.py b/mtenn/conversion_utils/schnet.py
index c696915..8beb476 100644
--- a/mtenn/conversion_utils/schnet.py
+++ b/mtenn/conversion_utils/schnet.py
@@ -10,11 +10,11 @@
 
 
 class SchNet(PygSchNet):
-    def __init__(self, model=None):
+    def __init__(self, *args, model=None, **kwargs):
         ## If no model is passed, construct default SchNet model, otherwise copy
         ##  all parameters and weights over
         if model is None:
-            super(SchNet, self).__init__()
+            super(SchNet, self).__init__(*args, **kwargs)
         else:
             try:
                 atomref = model.atomref.weight.detach().clone()