Instructions to use timm/vit_base_patch16_siglip_224.v2_webli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/vit_base_patch16_siglip_224.v2_webli with timm:
import timm model = timm.create_model("hf_hub:timm/vit_base_patch16_siglip_224.v2_webli", pretrained=True) - Transformers
How to use timm/vit_base_patch16_siglip_224.v2_webli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/vit_base_patch16_siglip_224.v2_webli")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/vit_base_patch16_siglip_224.v2_webli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add model
Browse files
README.md
CHANGED
|
@@ -23,6 +23,15 @@ A SigLIP 2 ViT (image encoder only) for `timm`. Equivalent to image tower from h
|
|
| 23 |
|
| 24 |
## Citation
|
| 25 |
```bibtex
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
@inproceedings{zhai2023sigmoid,
|
| 27 |
title={Sigmoid loss for language image pre-training},
|
| 28 |
author={Zhai, Xiaohua and Mustafa, Basil and Kolesnikov, Alexander and Beyer, Lucas},
|
|
@@ -32,12 +41,3 @@ A SigLIP 2 ViT (image encoder only) for `timm`. Equivalent to image tower from h
|
|
| 32 |
}
|
| 33 |
|
| 34 |
```
|
| 35 |
-
```bibtex
|
| 36 |
-
@article{tschannen2025siglip,
|
| 37 |
-
title={SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features},
|
| 38 |
-
author={Tschannen, Michael and Gritsenko, Alexey and Wang, Xiao and Naeem, Muhammad Ferjad and Alabdulmohsin, Ibrahim and Parthasarathy, Nikhil and Evans, Talfan and Beyer, Lucas and Xia, Ye and Mustafa, Basil and H'enaff, Olivier and Harmsen, Jeremiah and Steiner, Andreas and Zhai, Xiaohua},
|
| 39 |
-
year={2025},
|
| 40 |
-
journal={arXiv preprint arXiv:2502.14786}
|
| 41 |
-
}
|
| 42 |
-
|
| 43 |
-
```
|
|
|
|
| 23 |
|
| 24 |
## Citation
|
| 25 |
```bibtex
|
| 26 |
+
@article{tschannen2025siglip,
|
| 27 |
+
title={SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features},
|
| 28 |
+
author={Tschannen, Michael and Gritsenko, Alexey and Wang, Xiao and Naeem, Muhammad Ferjad and Alabdulmohsin, Ibrahim and Parthasarathy, Nikhil and Evans, Talfan and Beyer, Lucas and Xia, Ye and Mustafa, Basil and H'enaff, Olivier and Harmsen, Jeremiah and Steiner, Andreas and Zhai, Xiaohua},
|
| 29 |
+
year={2025},
|
| 30 |
+
journal={arXiv preprint arXiv:2502.14786}
|
| 31 |
+
}
|
| 32 |
+
|
| 33 |
+
```
|
| 34 |
+
```bibtex
|
| 35 |
@inproceedings{zhai2023sigmoid,
|
| 36 |
title={Sigmoid loss for language image pre-training},
|
| 37 |
author={Zhai, Xiaohua and Mustafa, Basil and Kolesnikov, Alexander and Beyer, Lucas},
|
|
|
|
| 41 |
}
|
| 42 |
|
| 43 |
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|