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- # 🩻 MedSigLIP-448 Demo (FP16 + Pruned)
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- This Space hosts a lightweight demo of the model
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- [`fokan/medsiglip-448-fp16-pruned20`](https://huggingface.co/fokan/medsiglip-448-fp16-pruned20).
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- ### ⚙️ Features
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- - Vision encoder specialized for **radiology embeddings**
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- - **20% pruned + FP16** for faster inference
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- - Works with **X-ray / CT / MRI images**
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- ### 🧪 Try It
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- Upload any medical image and view its embedding summary instantly.
 
 
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  Built by [Karrar Alhdrawi](https://huggingface.co/fokan)
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+ # 🩻 MedSigLIP MedGemma Radiology Fusion
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+ This demo chains two models together:
 
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+ - **Encoder:** `fokan/medsiglip-448-fp16-pruned20` (extracts radiology embeddings)
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+ - **Decoder:** `fokan/medgemma-4b-it-fp16-pruned20` (generates radiology-style reports)
 
 
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+ ### ⚙️ Workflow
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+ 1. Upload an X-ray (or any medical image)
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+ 2. Model encodes it into semantic embedding
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+ 3. Decoder interprets embedding → generates medical report
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  Built by [Karrar Alhdrawi](https://huggingface.co/fokan)
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