Instructions to use JuzeZhang/ViBES-Face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuzeZhang/ViBES-Face with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JuzeZhang/ViBES-Face", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model card
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by nielsr HF Staff - opened
README.md
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license: cc-by-4.0
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---
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license: cc-by-4.0
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pipeline_tag: any-to-any
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---
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# ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body
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ViBES (Voice in Behavioral Expression and Synchrony) is a speech-language-behavior (SLB) model with a mixture-of-modality-experts (MoME) architecture. It is a conversational 3D agent that jointly plans language and movement and executes dialogue-conditioned body actions, enabling controllable and socially competent 3D interaction.
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- **Paper:** [ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body](https://huggingface.co/papers/2512.14234)
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- **Project Page:** [https://ai.stanford.edu/~juze/ViBES/](https://ai.stanford.edu/~juze/ViBES/)
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- **GitHub Repository:** [https://github.com/Juzezhang/ViBES](https://github.com/Juzezhang/ViBES)
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## Usage
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To run the inference for conversational behavior of facial expressions, please follow the environment setup instructions in the [official repository](https://github.com/Juzezhang/ViBES) and then use the following command:
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```bash
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python inference/inference_a2m_face.py --user_text "If you had a superpower for one day, what would you choose?"
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```
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## Citation
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If you find this work useful in your research, please consider citing:
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```bibtex
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@inproceedings{
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zhang2026vibes,
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title={ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body},
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author={Juze Zhang and Changan Chen and Xin Chen and Heng Yu and Tiange Xiang and Ali Sartaz Khan and Shrinidhi Kowshika Lakshmikanth and Ehsan Adeli},
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booktitle={CVPR},
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year={2026},
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}
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```
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