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@@ -28,7 +28,7 @@ visual-temporal concepts from videos, thereby improving video-based searches.
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  By using the WebVid dataset, the model's capabilities were enhanced even beyond those described in the paper, thanks to the large-scale and diverse nature of the dataset empowering the model's performance.
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- ### How to use
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  ### Extracting Text Embeddings:
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  ```python
 
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  By using the WebVid dataset, the model's capabilities were enhanced even beyond those described in the paper, thanks to the large-scale and diverse nature of the dataset empowering the model's performance.
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+ ## How to use
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  ### Extracting Text Embeddings:
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  ```python