---
license: cc-by-nc-4.0
---

This repo contains pre-trained weights for the "reg4" version of the [DINOv2 model](https://github.com/facebookresearch/dinov2)
converted into a format that can be used by [candle](https://github.com/huggingface/candle).

The model was finetuned on about 1.4 million images covering 7806 vascular species to identify plants, and proposed to the participants of the PlantCLEF 2024 competition.
See the [HuggingFace's page](https://huggingface.co/spaces/BVRA/PlantCLEF2024) of the PlantCLEF 2024 competition.
The original PyTorch weights can be found on [Zenodo](https://zenodo.org/records/10848263).
The model tag is **vit_base_patch14_reg4_dinov2_lvd142m_pc24_onlyclassifier_then_all**

The extraction script used the code from [pytorch-to-safetensor-converter](https://github.com/Silver267/pytorch-to-safetensor-converter)

## Citing DINOv2 reg4 finetuned on PlantCLEF 2024 dataset

```
@misc{goeau_2024_10848263,
  author       = {Goëau, Hervé and
                  Lombardo, Jean-Chirstophe and
                  Affouard, Antoine and
                  Espitalier, Vincent and
                  Bonnet, Pierre and
                  Joly, Alexis},
  title        = {{PlantCLEF 2024 pretrained models on the flora of 
                   the south western Europe based on a subset of
                   Pl@ntNet collaborative images and a ViT base patch
                   14 dinoV2}},
  month        = mar,
  year         = 2024,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.10848263},
  url          = {https://doi.org/10.5281/zenodo.10848263}
}
```