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BrepARG
qingtiannihao/BrepARG
BrepARG is a machine learning model from qingtiannihao. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Inference-only pretrained weights for BrepARG (CVPR 2026).
Access
Public
Updated Sep 30, 2026
Repo size
643 MB
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.pt608 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 7, 2026
- Updated
- Sep 30, 2026
- SHA
- e6026d54
Model card
From the Hugging Face model README
BrepARG Pretrained Weights
Inference-only pretrained weights for BrepARG (CVPR 2026).
Each checkpoint contains only model_state_dict (no optimizer or training metadata).
Files
| File | Description |
|---|---|
checkpoint/weights/abc_ar.pt | AR model for ABC |
checkpoint/weights/abc_vqvae.pt | SE VQ-VAE for ABC (codebook=8192) |
checkpoint/weights/deepcad_ar.pt | AR model for DeepCAD |
checkpoint/weights/deepcad_vqvae.pt | SE VQ-VAE for DeepCAD (codebook=4096) |
Download
pip install -U huggingface_hub
huggingface-cli download qingtiannihao/BrepARG \
checkpoint/weights/abc_ar.pt \
checkpoint/weights/abc_vqvae.pt \
checkpoint/weights/deepcad_ar.pt \
checkpoint/weights/deepcad_vqvae.pt \
--local-dir . \
--local-dir-use-symlinks False
This creates checkpoint/weights/*.pt under your project root.
Citation
@article{li2026autoregressive,
title={AutoRegressive Generation with B-rep Holistic Token Sequence Representation},
author={Li, Jiahao and Bai, Yunpeng and Dai, Yongkang and Guo, Hao and Gan, Hongping and Shi, Yilei},
journal={arXiv preprint arXiv:2601.16771},
year={2026}
}
- License
- apache-2.0
- Created
- Jul 7, 2026
- Updated
- Sep 30, 2026