---
library_name: pytorch
tags:
- vision
- image-classification
- pytorch
license: mit
base_model: timm/maxvit_tiny_rw_224.sw_in1k
---

# BTSbot

This is a maxvit fine-tuned for classifying images from the
Zwicky Transient Facility (ZTF) observatory.
[Rehemtulla et al. 2024](https://arxiv.org/abs/2401.15167) originally introduced
`BTSbot` and its classification task, and
[Rehemtulla et al. 2025](https://arxiv.org/abs/2512.11957) performed
architecture and pre-training benchmarking on this `BTSbot` image classification task.

**Base Model**:
[timm/maxvit_tiny_rw_224.sw_in1k](https://huggingface.co/timm/maxvit_tiny_rw_224.sw_in1k)

## Usage

Easily install the btsbot package and load this model with:

```python
git clone https://github.com/nabeelre/BTSbot.git
cd BTSbot
pip install -e .

import btsbot
model = btsbot.load_HF_model(
    architecture="maxvit", multi_modal=False, pretrain="randinit"
)
```

Also see
[`BTSbot/btsbot/inference_example.py`](https://github.com/nabeelre/BTSbot/blob/main/btsbot/inference_example.py).

## Citation

If you use this model, please cite:

```bibtex
@ARTICLE{Rehemtulla+2025,
       author = {{Rehemtulla}, Nabeel and {Miller}, Adam A. and {Walmsley}, Mike
                 and {Shah}, Ved G. and {Jegou du Laz}, Theophile and
                 {Coughlin}, Michael W. and {Sasli}, Argyro and
                 {Bloom}, Joshua and {Fremling}, Christoffer and
                 {Graham}, Matthew J. and {Groom}, Steven L. and {Hale}, David and
                 {Mahabal}, Ashish A. and {Perley}, Daniel A. and
                 {Purdum}, Josiah and {Rusholme}, Ben and {Sollerman}, Jesper and
                 {Kasliwal}, Mansi M.},
        title = "{Pre-training vision models for the classification of alerts from
                  wide-field time-domain surveys}",
      journal = {arXiv e-prints},
     keywords = {Instrumentation and Methods for Astrophysics,
                 Computer Vision and Pattern Recognition},
         year = 2025,
        month = dec,
          eid = {arXiv:2512.11957},
        pages = {arXiv:2512.11957},
          doi = {10.48550/arXiv.2512.11957},
archivePrefix = {arXiv},
       eprint = {2512.11957},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025arXiv251211957R},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```

## License

This model is released under the MIT License.

## Repository

For more information, see the [BTSbot GitHub repository](https://github.com/nabeelre/BTSbot).