Update README.md

README.md

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 - biology
 - SigLIP2
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+![dvdfvdzfvd.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/OewUI6jg_h-Uxa4kpEuzK.png)
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 # **Trash-Net**  
 
 > **Trash-Net** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify images of waste materials into different categories using the **SiglipForImageClassification** architecture.  
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 - **Waste Management:** Assisting in automated waste sorting and recycling.  
 - **Environmental Monitoring:** Identifying and categorizing waste in public spaces.  
 - **Educational Purposes:** Teaching waste classification and sustainability.  
-- **Smart Cities:** Enhancing waste disposal systems through AI-driven classification.
+- **Smart Cities:** Enhancing waste disposal systems through AI-driven classification.