---
library_name: timm
license: apache-2.0
datasets:
- cifar10
tags:
- vision
- image-classification
- cifar10
- vit
model-index:
- name: vit-cifar10
  results:
  - task: {type: image-classification}
    dataset: {name: CIFAR-10, type: cifar10}
    metrics:
    - type: accuracy
      value: 0.95   # replace with your test accuracy
---

# ViT Base (patch16, 224) fine-tuned on CIFAR-10

Trained on CIFAR-10 (10 classes). Weights saved as a plain PyTorch `state_dict` (`pytorch_model.bin`).
Architecture is defined in `vit_model.py` (uses `timm`).