Vote Vision-language-action Model
Collection
Code: https://github.com/LukeLIN-web/vote 8act means the action chunk size is 8; it generates 8 actions in a single inference. • 4 items • Updated • 1
How to use juyil/spatial-8act with Transformers:
# Load model directly
from transformers import AutoModelForVision2Seq
model = AutoModelForVision2Seq.from_pretrained("juyil/spatial-8act", trust_remote_code=True, dtype="auto")This repository contains the checkpoint trained on spatial LIBERO task suite, as described in VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting.
The official code is available in the GitHub Repository.
If you use our code in your work, please cite our paper:
@misc{lin2025votevisionlanguageactionoptimizationtrajectory,
title={VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting},
author={Juyi Lin and Amir Taherin and Arash Akbari and Arman Akbari and Lei Lu and Guangyu Chen and Taskin Padir and Xiaomeng Yang and Weiwei Chen and Yiqian Li and Xue Lin and David Kaeli and Pu Zhao and Yanzhi Wang},
year={2025},
eprint={2507.05116},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2507.05116},
}
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("juyil/spatial-8act", trust_remote_code=True, dtype="auto")