---
license: mit
tags:
- image-classification
- vision-transformer
- imagenet-1k
- progresvit
datasets:
- ILSVRC/imagenet-1k
---

# ProgResViT DeiT-S (192 → 240)

EMA inference checkpoint for the DeiT-S ProgResViT model trained on ImageNet-1K.

- Training: standard
- Paper-reported full-path top-1 accuracy: 82.206%
- Full-path compute: 6.267 GMACs

## Download

```python
from huggingface_hub import hf_hub_download

checkpoint = hf_hub_download(
    repo_id="NCPS/progresvit-deit-s-192-240-imagenet1k",
    filename="progresvit_192_240.pth.tar",
)
```

The file contains EMA weights and public architecture metadata only. Use it with the [ProgResViT repository](https://github.com/ds-kiel/ProgResViT):

```bash
DATA_DIR=/path/to/imagenet CONFIG=192_240 bash scripts/validate.sh
```