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CheXmix

CheXmix is a unified early-fusion generative model trained on a large corpus of chest X-rays paired with radiology reports. The huggingface repository here provides the model weights and an example file (CVPR...

TypeText modelVersionmodelBClasse

Source du modèle

Type
Text model
Taille du fichier
5,25 GB
Version
vmodel
Mis à jour
15 sept. 2026
Téléchargements
84
Source
Hugging Face

Extrait de la source

CheXmix is a unified early-fusion generative model trained on a large corpus of chest X-rays paired with radiology reports. The huggingface repository here provides the model weights and an example file (CVPR...

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Hugging FacePrincipalVersion 593fab5c804127e9aab2e746c019a3eedcbcd14a
huggingface.co/stanfordmimi/CheXmix/tree/593fab5c804127e9aab2e746c019a3eedcbcd14a

Vérifié 31 août

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model.safetensors

safetensors · 5,25 GB · SHA-256 0f4037094e7a…6f57 · Hugging Face

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--- license: cc-by-nc-4.0 language: - en library_name: chexmix pipeline_tag: any-to-any --- # CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging CheXmix is a unified early-fusion generative model trained on a large corpus of chest X-rays paired with radiology reports. The huggingface repository here provides the model weights and an example file (CVPR findings 2026). [[💻 Github]](https://github.com/StanfordMIMI/CheXmix) [[📄 Paper]](https://arxiv.org/abs/2604.22989) ## ⚡️ Installation For an editable installation, use the following commands to clone and install this repository. ```python git clone https://github.com/StanfordMIMI/CheXmix.git cd CheXmix pip install -e . ``` For usage instructions, please visit the github [repository](https://github.com/StanfordMIMI/CheXmix). ## 📁 Project Structure: ``` . ├── README.md ├── model.safetensors <CheXmix (S1 + S2) checkpoint> ├── vqgan.ckpt <Image Tokenizer checkpoint> ``` ## 📎 Citation If you find this repository useful for your work, please cite the cite the [paper](https://arxiv.org/abs/2604.22989): ```bibtex @inproceedings{kumar2026chexmix, author = {Kumar, Ashwin and Holland, Robbie and Barrett, Corey and Kim, Jangwon and Varma, Maya and Chen, Zhihong and Gao, Yunhe and Zaharchuk, Greg and Taghavi, Tara and Kenthapadi, Krishnaram and Chaudhari, Akshay}, title = {CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings}, pages = {9466--9476}, year = {2026}, note = {arXiv preprint arXiv:2604.22989} } ```

Source context: 84 downloads · 1 likes · Pipeline any-to-any · Library chexmix · Repo stanfordmimi/CheXmix