diff --git a/docs/source/installation.md b/docs/source/installation.md
index 1b7d8d5d5..89d4f2af2 100644
--- a/docs/source/installation.md
+++ b/docs/source/installation.md
@@ -107,7 +107,7 @@ This command performs a magical link between the folder you cloned the repositor
 ```
 now this editable install will reside where you clone the folder to, e.g. `~/transformers/` and python will search it too.
 
-Do note that you have to keep that `transformers` folder around and not delete it to continue using the  `transfomers` library.
+Do note that you have to keep that `transformers` folder around and not delete it to continue using the  `transformers` library.
 
 Now, let's get to the real benefit of this installation approach. Say, you saw some new feature has been just committed into `master`. If you have already performed all the steps above, to update your transformers to include all the latest commits, all you need to do is to `cd` into that cloned repository folder and update the clone to the latest version:
 
diff --git a/docs/source/model_sharing.rst b/docs/source/model_sharing.rst
index 5c545695b..06bd09f61 100644
--- a/docs/source/model_sharing.rst
+++ b/docs/source/model_sharing.rst
@@ -131,7 +131,7 @@ directly create a PyTorch version of your TensorFlow model:
 
 .. code-block:: python
 
-    from transfomers import AutoModel
+    from transformers import AutoModel
 
     model = AutoModel.from_pretrained(save_directory, from_tf=True)