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A newer version of the Gradio SDK is available:
6.3.0
metadata
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:
- Resized to 224×224
- Converted to RGB
- Normalized to [0, 1] range