---
library_name: litert
base_model: timm/xcit_tiny_24_p8_224.fb_in1k
tags:
  - vision
  - image-classification
datasets:
  - imagenet-1k
---

# xcit_tiny_24_p8_224

Converted TIMM image classification model for LiteRT.

- Source architecture: xcit_tiny_24_p8_224
- File: model.tflite

## Model Details

- **Model Type:** Image classification / feature backbone
- **Model Stats:**
  - Params (M): 12.1
  - GMACs: 9.2
  - Activations (M): 45.4
  - Image size: 224 x 224
- **Papers:**
  - XCiT: Cross-Covariance Image Transformers: https://arxiv.org/abs/2106.09681
- **Dataset:** ImageNet-1k
- **Original:** https://github.com/facebookresearch/xcit

## Citation

```bibtex
@article{el2021xcit,
  title={XCiT: Cross-Covariance Image Transformers},
  author={El-Nouby, Alaaeldin and Touvron, Hugo and Caron, Mathilde and Bojanowski, Piotr and Douze, Matthijs and Joulin, Armand and Laptev, Ivan and Neverova, Natalia and Synnaeve, Gabriel and Verbeek, Jakob and others},
  journal={arXiv preprint arXiv:2106.09681},
  year={2021}
}
```