diff --git a/README.md b/README.md
index 0a9cb4f..bd1a971 100644
--- a/README.md
+++ b/README.md
@@ -14,11 +14,12 @@ CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a
 
 ## Usage
 
-First, [install PyTorch 1.7.1](https://pytorch.org/get-started/locally/) and torchvision, as well as small additional dependencies. On a CUDA GPU machine, the following will do the trick:
+First, [install PyTorch 1.7.1](https://pytorch.org/get-started/locally/) and torchvision, as well as small additional dependencies, and then install this repo as a Python package. On a CUDA GPU machine, the following will do the trick:
 
 ```bash
 $ conda install --yes -c pytorch pytorch=1.7.1 torchvision cudatoolkit=11.0
 $ pip install ftfy regex tqdm
+$ pip install git+https://github.com/openai/CLIP.git
 ```
 
 Replace `cudatoolkit=11.0` above with the appropriate CUDA version on your machine or `cpuonly` when installing on a machine without a GPU.
@@ -51,7 +52,7 @@ The CLIP module `clip` provides the following methods:
 
 #### `clip.available_models()`
 
-Returns the name(s) of the available CLIP models.
+Returns the names of the available CLIP models.
 
 #### `clip.load(name, device=..., jit=True)`