Instructions to use litert-community/visformer_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/visformer_small with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 973 Bytes
463b9b9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | ---
library_name: litert
base_model: timm/visformer_small.in1k
tags:
- vision
- image-classification
datasets:
- imagenet-1k
---
# visformer_small
Converted TIMM image classification model for LiteRT.
- Source architecture: visformer_small
- File: model.tflite
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Params (M): 40.2
- GMACs: 4.9
- Activations (M): 11.4
- Image size: 224 x 224
- **Papers:**
- Visformer: The Vision-friendly Transformer: https://arxiv.org/abs/2104.12533
- **Dataset:** ImageNet-1k
- **Original:** https://github.com/danczs/Visformer
## Citation
```bibtex
@inproceedings{chen2021visformer,
title={Visformer: The vision-friendly transformer},
author={Chen, Zhengsu and Xie, Lingxi and Niu, Jianwei and Liu, Xuefeng and Wei, Longhui and Tian, Qi},
booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
pages={589--598},
year={2021}
}
```
|