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@@ -15,12 +15,14 @@ On an Intel avx512 CPU machine with 64 cores and VNNI support, this model achiev
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  and **2.84x** speedup for visual inputs as compared to the full-precision model. With a batch size of 64,
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  the throughput was measured as **1230 items/sec** for images and **2009 items/sec** for text.
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- This model and the example pipeline were created by Eugenia Iofinova, Michael Goin, Chris Wendler, and Dan Alistarh.
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- Special thanks to Abhinav Agarwalla and Alexandre Marques for technical support with parts of the project.
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-
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  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)
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  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)
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  ## Setup for usage
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  First, install DeepSparse with extensions for CLIP:
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  ```
 
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  and **2.84x** speedup for visual inputs as compared to the full-precision model. With a batch size of 64,
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  the throughput was measured as **1230 items/sec** for images and **2009 items/sec** for text.
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  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)
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  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)
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+ ## The team
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+
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+ This model and the example pipeline were created by Eugenia Iofinova, Michael Goin, Chris Wendler, and Dan Alistarh.
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+ Special thanks to Abhinav Agarwalla and Alexandre Marques for technical support with parts of the project.
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+
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  ## Setup for usage
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  First, install DeepSparse with extensions for CLIP:
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  ```