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The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
TextLap (graphic design)
This is the graphic design layout planning model proposed in TextLap: Customizing Language Models for Text-to-Layout Planning.
The inference code of TextLap is available in the GitHub repo.
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}
}
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