Instructions to use shawn24/Mammo-CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawn24/Mammo-CLIP with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shawn24/Mammo-CLIP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - mammo-clip | |
| - mammograms | |
| - breast-cancer | |
| # Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography | |
| ### [[Paper](https://arxiv.org/pdf/2405.12255)] [[Gihub](https://github.com/batmanlab/Mammo-CLIP)] | |
| ## Citation | |
| ```bibtex | |
| @article{ghosh2024mammo, | |
| title={Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography}, | |
| author={Ghosh, Shantanu and Poynton, Clare B and Visweswaran, Shyam and Batmanghelich, Kayhan}, | |
| journal={arXiv preprint arXiv:2405.12255}, | |
| year={2024} | |
| } | |
| ``` | |
| ## License and Copyright | |
| This project is licensed under the **Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0)** license. | |
| You **may use, share, and adapt** this work **for non-commercial research and educational purposes only**, provided that you: | |
| - Give appropriate credit to the original authors. | |
| - Indicate if changes were made. | |
| - Distribute any derivative works under the **same license** (CC BY-NC-SA 4.0). | |
| **Commercial use, including model deployment, integration into for-profit products or services, or sale of derivatives, is strictly prohibited.** | |
| Copyright © [Batman Lab](https://www.batman-lab.com/), 2024 | |
| License text: [Creative Commons BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) | |
| ## Contact | |
| For any queries, contact: **shawn24@bu.edu** |