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Improve model card: Add robotics pipeline tag, transformers library, and enhance links (#1)

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- Improve model card: Add robotics pipeline tag, transformers library, and enhance links (b6a3a133487aa83328288df5ff41f291fb2621ed)


Co-authored-by: Niels Rogge <[email protected]>

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  1. README.md +16 -7
README.md CHANGED
@@ -1,5 +1,6 @@
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  ---
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- license: mit
 
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  datasets:
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  - agibot-world/AgiBotWorld-Beta
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  - IPEC-COMMUNITY/fractal20220817_data_lerobot
@@ -14,11 +15,10 @@ datasets:
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  - x-humanoid-robomind/RoboMIND
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  language:
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  - en
 
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  metrics:
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  - accuracy
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  - bleu
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- base_model:
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- - Qwen/Qwen2.5-VL-3B-Instruct
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  tags:
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  - Robot Control
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  - Generalist robot policies
@@ -27,6 +27,8 @@ tags:
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  - Unified Model
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  - multimodal
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  - large embodied model
 
 
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  ---
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  <p align="center">
@@ -34,7 +36,7 @@ tags:
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  </p>
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  <p align="left">
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- <a href="http://eo-robotics.ai">
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  <img
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  src="https://img.shields.io/badge/EO--Robotics-Website-5865F2?logo=googleplay&logoColor=white"
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  alt="EO-Robotics Website"
@@ -46,6 +48,12 @@ tags:
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  alt="EO-Robotics Paper on arXiv"
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  />
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  </a>
 
 
 
 
 
 
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  <a href="https://huggingface.co/collections/IPEC-COMMUNITY/eo-robotics-68ac4ff30e1f746cac28ca14">
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  <img
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  src="https://img.shields.io/badge/EO--1--3B-Model-FFCC11?logo=huggingface&logoColor=brightyellow"
@@ -181,10 +189,11 @@ Robot Control Benchmark Results
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  If you find this project useful, please consider citing:
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  ```bibtex
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- @article{eo-robotics,
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  title={EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control},
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- author={Qu, Delin and Song, Haoming and Chen, Qizhi and Chen, Zhaoqing, and Gao Xianqiang, and Ye, Xinyi, and Modi Shi, and Guanghui Ren and Maoqing Yao, and Zhao, Bin and Wang, Dong},
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  journal={arXiv preprint},
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- year={2025}
 
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  }
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  ```
 
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  ---
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+ base_model:
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+ - Qwen/Qwen2.5-VL-3B-Instruct
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  datasets:
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  - agibot-world/AgiBotWorld-Beta
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  - IPEC-COMMUNITY/fractal20220817_data_lerobot
 
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  - x-humanoid-robomind/RoboMIND
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  language:
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  - en
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+ license: mit
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  metrics:
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  - accuracy
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  - bleu
 
 
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  tags:
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  - Robot Control
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  - Generalist robot policies
 
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  - Unified Model
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  - multimodal
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  - large embodied model
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+ pipeline_tag: robotics
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+ library_name: transformers
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  ---
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  <p align="center">
 
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  </p>
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  <p align="left">
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+ <a href="https://eo-robotics.ai/eo-1">
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  <img
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  src="https://img.shields.io/badge/EO--Robotics-Website-5865F2?logo=googleplay&logoColor=white"
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  alt="EO-Robotics Website"
 
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  alt="EO-Robotics Paper on arXiv"
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  />
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  </a>
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+ <a href="https://github.com/EO-Robotics/EO-1">
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+ <img
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+ src="https://img.shields.io/badge/GitHub-Code-blue.svg?logo=github&"
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+ alt="GitHub Code"
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+ />
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+ </a>
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  <a href="https://huggingface.co/collections/IPEC-COMMUNITY/eo-robotics-68ac4ff30e1f746cac28ca14">
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  <img
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  src="https://img.shields.io/badge/EO--1--3B-Model-FFCC11?logo=huggingface&logoColor=brightyellow"
 
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  If you find this project useful, please consider citing:
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  ```bibtex
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+ @article{eo-1,
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  title={EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control},
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+ author={Delin Qu and Haoming Song and Qizhi Chen and Zhaoqing Chen and Xianqiang Gao and Xinyi Ye and Qi Lv and Modi Shi and Guanghui Ren and Cheng Ruan and Maoqing Yao and Haoran Yang and Jiacheng Bao and Bin Zhao and Dong Wang},
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  journal={arXiv preprint},
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+ year={2025},
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+ url={https://arxiv.org/abs/2508.21112}
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  }
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  ```