Downloads · 30 days
0
dcdt-vit-model
Thacha2222/dcdt-vit-model
dcdt-vit-model is a machine learning model from Thacha2222. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A Vision Transformer (ViT) model for analyzing Clock Drawing Test images to support cognitive assessment.
Access
Public
Updated Apr 11, 2026
Repo size
343 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pth343 MB · 100%
At a glance
- Access
- Public
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026
- SHA
- 6328732d
Model card
From the Hugging Face model README
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()
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026