Merge pull request #1349 from ogabrielluiz/master

Just some typos

docs/source/quickstart.md

@@ -93,8 +93,8 @@ Let's see how we can use `BertModel` to encode our inputs in hidden-states:
 # Load pre-trained model (weights)
 model = BertModel.from_pretrained('bert-base-uncased')
 
-# Set the model in evaluation mode to desactivate the DropOut modules
-# This is IMPORTANT to have reproductible results during evaluation!
+# Set the model in evaluation mode to deactivate the DropOut modules
+# This is IMPORTANT to have reproducible results during evaluation!
 model.eval()
 
 # If you have a GPU, put everything on cuda
@@ -168,8 +168,8 @@ Let's see how to use `GPT2LMHeadModel` to generate the next token following our
 # Load pre-trained model (weights)
 model = GPT2LMHeadModel.from_pretrained('gpt2')
 
-# Set the model in evaluation mode to desactivate the DropOut modules
-# This is IMPORTANT to have reproductible results during evaluation!
+# Set the model in evaluation mode to deactivate the DropOut modules
+# This is IMPORTANT to have reproducible results during evaluation!
 model.eval()
 
 # If you have a GPU, put everything on cuda