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  Contrastive Language-Image Pre-Training (CLIP) uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features can then be used for a variety of zero-shot learning tasks.
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- This model is an implementation of Posenet-Mobilenet found [here](https://github.com/openai/CLIP/).
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  This repository provides scripts to run OpenAI-Clip on Qualcomm® devices.
 
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  Contrastive Language-Image Pre-Training (CLIP) uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features can then be used for a variety of zero-shot learning tasks.
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+ This model is an implementation of OpenAI-Clip found [here](https://github.com/openai/CLIP/).
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  This repository provides scripts to run OpenAI-Clip on Qualcomm® devices.