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DCDT Vision Transformer Model
Description
A Vision Transformer (ViT) model for analyzing Clock Drawing Test images to support cognitive assessment.
Model Details
- Architecture: Vision Transformer (ViT)
- Framework: PyTorch
- Input Size: 224 × 224 pixels
Usage
from huggingface_hub import hf_hub_download
import torch
model_path = hf_hub_download(
repo_id="<username>/dcdt-vit-model",
filename="best_vit_v3_final.pth"
)
model = torch.load(model_path, map_location="cpu")
model.eval()
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