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| title: GERD Lightweight ViT Classifier | |
| emoji: 🏥 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.0.0 | |
| app_file: app.py | |
| pinned: false | |
| # GERD Lightweight Vision Transformer Classifier | |
| This is a lightweight Vision Transformer model for GERD classification. | |
| ## Model Architecture | |
| - **Image size**: 224×224×3 | |
| - **Patch size**: 8×8 | |
| - **Projection dimension**: 64 | |
| - **Transformer layers**: 4 | |
| - **Attention heads**: 4 | |
| - **MLP head units**: [128, 64] | |
| ## Usage | |
| Upload an image and the model will classify it into one of the predefined classes. | |
| ## Preprocessing | |
| Images are: | |
| 1. Resized to 224×224 | |
| 2. Converted to RGB | |
| 3. Normalized to [0, 1] range | |