diff --git a/lightfm/lightfm.py b/lightfm/lightfm.py
index f71404a1..aa1ad11f 100644
--- a/lightfm/lightfm.py
+++ b/lightfm/lightfm.py
@@ -20,10 +20,20 @@
 
 CYTHON_DTYPE = np.float32
 
-model_weights = {'user_embeddings', 'user_biases', 'item_embeddings', 'item_biases',
-                 'item_bias_momentum', 'item_bias_gradients', 'item_embedding_momentum',
-                 'item_embedding_gradients', 'user_bias_momentum', 'user_bias_gradients',
-                 'user_embedding_momentum', 'user_embedding_gradients'}
+model_weights = {
+    "user_embeddings",
+    "user_biases",
+    "item_embeddings",
+    "item_biases",
+    "item_bias_momentum",
+    "item_bias_gradients",
+    "item_embedding_momentum",
+    "item_embedding_gradients",
+    "user_bias_momentum",
+    "user_bias_gradients",
+    "user_embedding_momentum",
+    "user_embedding_gradients",
+}
 
 
 class LightFM(object):
@@ -513,7 +523,9 @@ def load(self, path):
         for value in [x for x in numpy_model if x in model_weights]:
             setattr(self, value, numpy_model[value])
 
-        self.set_params(**{k: v for k, v in numpy_model.items() if k not in model_weights})
+        self.set_params(
+            **{k: v for k, v in numpy_model.items() if k not in model_weights}
+        )
 
     def fit(
         self,