How to use from the
Use from the
Transformers library
# Load model directly
from transformers import WorldBridgeXVLA
model = WorldBridgeXVLA.from_pretrained("baiyu858/Bridge-WA-VLABench", trust_remote_code=True, device_map="auto")
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Bridge-WA: Predicting Where and How the World Changes for Robotic Action

Bridge-WA is a lightweight world-action framework that distills a frozen future-change teacher into compact world-change priors (future tokens, change maps, and motion-flow maps) to guide robotic action generation.

Citation

If you find Bridge-WA useful in your research, please cite:

@article{bai2026bridgewa,
  title   = {Bridge-WA: Predicting Where and How the World Changes for Robotic Action},
  author  = {Bai, Yongjie and Wang, Hanting and Dai, Mingtong and Zhong, Qijun and Liu, Yang and Lin, Liang},
  year    = {2026}
}
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