diff --git a/README.md b/README.md
index e45400fe..fe178852 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,11 @@ Also included in this repo is an efficient pytorch implementation of MTCNN for f
 
 ## Quick start
 
-1. Clone this repo, removing the '-' to allow python imports:
+1. Either install using pip:
+    ```bash
+    pip install facenet-pytorch
+    ```
+    or clone this repo, removing the '-' to allow python imports:
     ```git
     git clone https://github.com/timesler/facenet-pytorch.git facenet_pytorch
     ```
@@ -64,7 +68,7 @@ The following models have been ported to pytorch (with links to download pytorch
 There is no need to manually download the pretrained state_dict's; they are downloaded automatically on model instantiation and cached for future use in the torch cache. To use an Inception Resnet (V1) model for facial recognition/identification in pytorch, use:
 
 ```python
-from models.inception_resnet_v1 import InceptionResnetV1
+from facenet_pytorch import InceptionResnetV1
 
 # For a model pretrained on VGGFace2
 model = InceptionResnetV1(pretrained='vggface2').eval()
@@ -97,6 +101,10 @@ To use pretrained MTCNN and Inception Resnet V1 models in your own git repo, I r
 
 `git submodule add https://github.com/timesler/facenet-pytorch.git facenet_pytorch`
 
+Alternatively, the code can be installed as a packed using pip:
+
+`pip install facenet-pytorch`
+
 Models can then be instantiated simply with the following:
 
 ```python