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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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## 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
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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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## Usage
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[](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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