Saltar al contenido
ModelPublicadoExterno
Descargar

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...

TipoText modelVersiónmodelBcalidad

Fuente del modelo

Tipo
Text model
Tamaño del archivo
5,25 GB
Versión
vmodel
Actualizado
15 sept 2026
Descargas
84
Fuente
Hugging Face

Extracto de la fuente

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...

Fuentes

1 fuente
Hugging FacePrincipalVersión 593fab5c804127e9aab2e746c019a3eedcbcd14a
huggingface.co/stanfordmimi/CheXmix/tree/593fab5c804127e9aab2e746c019a3eedcbcd14a

Verificado 31 ago

Artefactos del modelo

1 artefacto

model.safetensors

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

Download file

Extractos de fuentes

2 extractos

--- 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