This model is fine-tuned on
lmsys/vicuna-7b-v1.5
using image layout data extracted from the MS-COCO dataset.
The inference code and prompt format is availabe at the GitHub repo:
TextLap
.
Reference
@article{chen2024textlap,
title={TextLap: Customizing Language Models for Text-to-Layout Planning},
author={Chen, Jian and Zhang, Ruiyi and Zhou, Yufan and Healey, Jennifer and Gu, Jiuxiang and Xu, Zhiqiang and Chen, Changyou},
journal={arXiv preprint arXiv:2410.12844},
year={2024}
}
Runs of puar-playground TextLap-COCO on huggingface.co
23
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
13
30-day runs
More Information About TextLap-COCO huggingface.co Model
TextLap-COCO huggingface.co is an AI model on huggingface.co that provides TextLap-COCO's model effect (), which can be used instantly with this puar-playground TextLap-COCO model. huggingface.co supports a free trial of the TextLap-COCO model, and also provides paid use of the TextLap-COCO. Support call TextLap-COCO model through api, including Node.js, Python, http.
TextLap-COCO huggingface.co is an online trial and call api platform, which integrates TextLap-COCO's modeling effects, including api services, and provides a free online trial of TextLap-COCO, you can try TextLap-COCO online for free by clicking the link below.
puar-playground TextLap-COCO online free url in huggingface.co:
TextLap-COCO is an open source model from GitHub that offers a free installation service, and any user can find TextLap-COCO on GitHub to install. At the same time, huggingface.co provides the effect of TextLap-COCO install, users can directly use TextLap-COCO installed effect in huggingface.co for debugging and trial. It also supports api for free installation.