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@@ -5,10 +5,12 @@ inference: false
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  tags:
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  - deepsparse
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  ---
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- This is a quantized version of https://huggingface.co/laion/CLIP-ViT-B-32-256x256-DataComp-s34B-b86K that is ready to use with [DeepSparse](https://github.com/neuralmagic/deepsparse). It achieves 71.1% one-shot accuracy on ImageNet.
 
 
 
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  ## Setup for usage
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- [![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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  First, install DeepSparse with extensions for CLIP:
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  ```
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  pip install deepsparse-nightly[clip]>=1.7.0.20231210
 
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  tags:
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  - deepsparse
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  ---
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+ This is a [SparseML](https://github.com/neuralmagic/sparseml) quantized version of https://huggingface.co/laion/CLIP-ViT-B-32-256x256-DataComp-s34B-b86K that is ready to use with [DeepSparse](https://github.com/neuralmagic/deepsparse). It achieves 71.1% one-shot accuracy on ImageNet and 95.6% one-shot accuracy on Imagenette.
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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/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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  pip install deepsparse-nightly[clip]>=1.7.0.20231210