---
library_name: litert
base_model: timm/mobilevitv2_100.cvnets_in1k
tags:
  - vision
  - image-classification
datasets:
  - imagenet-1k
---

# mobilevitv2_100

Converted TIMM image classification model for LiteRT.

- Source architecture: mobilevitv2_100
- File: model.tflite

## Model Details

- **Model Type:** Image classification / feature backbone
- **Model Stats:**
  - Params (M): 4.9
  - GMACs: 1.8
  - Activations (M): 16.1
  - Image size: 256 x 256
- **Papers:**
  - Separable Self-attention for Mobile Vision Transformers: https://arxiv.org/abs/2206.02680
- **Original:** https://github.com/apple/ml-cvnets
- **Dataset:** ImageNet-1k

## Citation

```bibtex
@article{Mehta2022SeparableSF,
  title={Separable Self-attention for Mobile Vision Transformers},
  author={Sachin Mehta and Mohammad Rastegari},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.02680}
}
```