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SentenceTransformers can be used for contrastive learning with a similarity-matching network in combination of image and textual features:
          i) Use the SentenceTransformer to encode images and text into a single vector space.
          ii) Combine both using SentenceTransformer to create a new vector space.
          iii) Implement contrastive learning for this vector space.

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(Text and image) contrastive learning: code:          
         
      Input:   
         
      Output:   
         

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