Update README.md

README.md

@@ -15,12 +15,14 @@ On an Intel avx512 CPU machine with 64 cores and VNNI support, this model achiev
 and **2.84x** speedup for visual inputs as compared to the full-precision model. With a batch size of 64,
 the throughput was measured as **1230 items/sec** for images and **2009 items/sec** for text.
 
-This model and the example pipeline were created by Eugenia Iofinova, Michael Goin, Chris Wendler, and Dan Alistarh.
-Special thanks to Abhinav Agarwalla and Alexandre Marques for technical support with parts of the project.
-
 Notebook for basic usage: [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1ZvU9ZSHJKSeJyH5bgxo_A-GSVIUcSt2E?usp=sharing)
 Notebook for Imagenette evaluation: [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1-Duq0YNtjzOnmuXCYo-5DDiOzeCItXpN?usp=sharing)
 
+## The team
+
+This model and the example pipeline were created by Eugenia Iofinova, Michael Goin, Chris Wendler, and Dan Alistarh.
+Special thanks to Abhinav Agarwalla and Alexandre Marques for technical support with parts of the project.
+
 ## Setup for usage
 First, install DeepSparse with extensions for CLIP:
 ```