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CoReS
Shawnee-bxy/CoReS
CoReS is a text generation model from Shawnee-bxy. Use it when you need the model to write or continue text. It is set up for transformers.
- Project: [https://chain-of-reasoning-and-segmentation.github.io/] - Paper: [https://arxiv.org/abs/2404.05673] - codes: [https://github.com/baoxiaoyi/CoReS]
All-time downloads
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Repo size
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llava
- Access
- Public
- Created
- Jul 5, 2024
- Updated
- Mar 10, 2025
- SHA
- f46438d2
Try a prompt
Model card
From the Hugging Face model README
CoReS: Orchestrating the Dance of Reasoning and Segmentation(ECCV2024)
Model Sources [optional]
<!-- Provide the basic links for the model. -->- Project: [https://chain-of-reasoning-and-segmentation.github.io/]
- Paper: [https://arxiv.org/abs/2404.05673]
- codes: [https://github.com/baoxiaoyi/CoReS]
Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->Citation
If you find this project useful in your research, please consider citing:
@inproceedings{bao2024cores,
title={Cores: Orchestrating the dance of reasoning and segmentation},
author={Bao, Xiaoyi and Sun, Siyang and Ma, Shuailei and Zheng, Kecheng and Guo, Yuxin and Zhao, Guosheng and Zheng, Yun and Wang, Xingang},
booktitle={European Conference on Computer Vision},
pages={187--204},
year={2024},
organization={Springer}
}
Acknowledgement
- Task
- Text Generation
- Library
- transformers
- Type
- llava
- Created
- Jul 5, 2024
- Updated
- Mar 10, 2025