Improve model card: Add robotics pipeline tag, transformers library, and enhance links
Browse filesThis PR enhances the model card by:
* Adding `pipeline_tag: robotics` to correctly categorize the model and improve its discoverability on the Hugging Face Hub (e.g., at https://huggingface.co/models?pipeline_tag=robotics).
* Adding `library_name: transformers` to enable the "how to use" widget and automated code snippets, as the model is compatible with the `transformers` library via `trust_remote_code=True` as evidenced by the provided inference example.
* Updating the project website link in the badge to the more specific `https://eo-robotics.ai/eo-1` as found in the GitHub README.
* Adding a direct badge link to the GitHub repository `https://github.com/EO-Robotics/EO-1` for easy access to the codebase.
* Updating the BibTeX citation block with the more complete version from the GitHub README, including the arXiv URL.
These improvements will make the model more discoverable and easier for users to interact with.
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---
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-
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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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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
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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">
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</p>
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<p align="left">
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<a href="
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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://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-
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title={EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control},
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author={Qu
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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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```
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