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XrayCLIP__vit-l-14__laion2b-s32b-b82k
StanfordAIMI/XrayCLIP__vit-l-14__laion2b-s32b-b82k
XrayCLIP__vit-l-14__laion2b-s32b-b82k is a zero-shot image classification model from StanfordAIMI. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
<div align="center" <h1 CheXagent </h1 </div
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At a glance
- Task
- Zero-Shot Image Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- clip
- Access
- Public
- Created
- Mar 11, 2024
- Updated
- Jan 12, 2025
- SHA
- 0a61dfa4
Model card
From the Hugging Face model README
<div align="center">
<h1>
CheXagent
</h1>
</div>
<p align="center">
📝 <a href="https://arxiv.org/abs/2401.12208" target="_blank">Paper</a> • 🤗 <a href="https://huggingface.co/StanfordAIMI/CheXagent-2-3b/" target="_blank">Hugging Face</a> • 🧩 <a href="https://github.com/Stanford-AIMI/CheXagent" target="_blank">Github</a> • 🪄 <a href="https://stanford-aimi.github.io/chexagent.html" target="_blank">Project</a>
</p>
<div align="center">
</div>
✏️ Citation
@article{chexagent-2024,
title={CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation},
author={Chen, Zhihong and Varma, Maya and Delbrouck, Jean-Benoit and Paschali, Magdalini and Blankemeier, Louis and Veen, Dave Van and Valanarasu, Jeya Maria Jose and Youssef, Alaa and Cohen, Joseph Paul and Reis, Eduardo Pontes and Tsai, Emily B. and Johnston, Andrew and Olsen, Cameron and Abraham, Tanishq Mathew and Gatidis, Sergios and Chaudhari, Akshay S and Langlotz, Curtis},
journal={arXiv preprint arXiv:2401.12208},
url={https://arxiv.org/abs/2401.12208},
year={2024}
}
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- clip
- License
- cc-by-nc-4.0
- Created
- Mar 11, 2024
- Updated
- Jan 12, 2025