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- ## 🚀 Model Details
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- | Component | Architecture |
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- |------------------|-------------------------------------------|
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- | Image Encoder | Swin Based (patch4, window7, 224 resolution) |
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- | Text Encoder | RoBERTa-base |
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- | Projection Head | Linear layer (to 512-D space) |
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- | Normalization | L2 on both embeddings |
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- | Training Task | Contrastive learning |
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- ---
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  ### ✅ Intended Use
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  - Vision-language embedding for classification or retrieval tasks
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  - Few-shot learning in agricultural or medical datasets
 
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  ### ✅ Intended Use
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  - Vision-language embedding for classification or retrieval tasks
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  - Few-shot learning in agricultural or medical datasets