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@@ -29,7 +29,8 @@ In this paper, we propose LLM2CLIP, a novel approach that embraces the power of
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  ## Usage
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- ### Huggingface Version
 
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  ```python
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  import os
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  os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 
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  ## Usage
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+ ### Pytorch version
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+ Go to [GitHub](https://github.com/microsoft/LLM2CLIP/tree/main/llm2clip)
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  ```python
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  import os
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  os.environ["CUDA_VISIBLE_DEVICES"] = "0"