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@@ -77,3 +77,15 @@ with torch.no_grad():
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  image_emb, text_emb = model(image_tensor, inputs["input_ids"], inputs["attention_mask"])
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  similarity = torch.nn.functional.cosine_similarity(image_emb, text_emb)
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  print(f"Similarity score: {similarity.item():.4f}")
 
 
 
 
 
 
 
 
 
 
 
 
 
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  image_emb, text_emb = model(image_tensor, inputs["input_ids"], inputs["attention_mask"])
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  similarity = torch.nn.functional.cosine_similarity(image_emb, text_emb)
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  print(f"Similarity score: {similarity.item():.4f}")
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+ ```
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+ Please cite this paper if this code is useful for you!
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+
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+ ```
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+ @misc{quoc2025visionlanguage,
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+ author = {Quoc, K. N. and Thu, L. L. T. and Quach, L. D.},
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+ title = {A Vision-Language Foundation Model for Leaf Disease Identification},
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+ year = {2025},
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+ publisher = {Authorea Preprints},
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+ url = {10.36227/techrxiv.174062971.11176782/v1}
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+ }
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+ ```