---
library_name: litert
base_model: timm/coat_lite_tiny.in1k
tags:
  - vision
  - image-classification
datasets:
  - imagenet-1k
---

# coat_lite_tiny

Converted TIMM image classification model for LiteRT.

- Source architecture: coat_lite_tiny
- File: model.tflite

## Model Details

- **Model Type:** Image classification / feature backbone
- **Model Stats:**
  - Params (M): 5.7
  - GMACs: 1.6
  - Activations (M): 11.6
  - Image size: 224 x 224
- **Papers:**
  - Co-Scale Conv-Attentional Image Transformers: https://arxiv.org/abs/2104.06399
- **Dataset:** ImageNet-1k
- **Original:** https://github.com/mlpc-ucsd/CoaT

## Citation

```bibtex
@InProceedings{Xu_2021_ICCV,
  author    = {Xu, Weijian and Xu, Yifan and Chang, Tyler and Tu, Zhuowen},
  title     = {Co-Scale Conv-Attentional Image Transformers},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  month     = {October},
  year      = {2021},
  pages     = {9981-9990}
}
```