Update modeling_utils.py

Author: Cyrilvallez

src/transformers/modeling_utils.py

@@ -2478,7 +2478,7 @@ def initialize_weights(self):
         This is equivalent to calling `self.apply(self._initialize_weights)`, but correctly handles composite models.
         This function dynamically dispatches the correct `init_weights` function to the modules as we advance in the
         module graph along the recursion. It can handle an arbitrary number of sub-models. Without it, every composite
-        model would have to recurse a second time on all sub-models explicitly on the outer-most `_init_weights`, which
+        model would have to recurse a second time on all sub-models explicitly in the outer-most `_init_weights`, which
         is extremely error prone and inefficient.
 
         Note that the `torch.no_grad()` decorator is very important as well, as most of our `_init_weights` do not use