The
Code Formula Model
processes an image of a code snippet or formula at 120 DPI and outputs its content.
Code Snippets
:
The model identifies the programming language and outputs the code repsecting the indendation shown in the given image. The output format will be:
"<_<programming language>_> <content of the image>"
Example:
"<_Java_> System.out.println("Hello World.");"
Formulas
:
The model generates the corresponding LaTeX code.
References
@techreport{Docling,
author = {Deep Search Team},
month = {8},
title = {{Docling Technical Report}},
url={https://arxiv.org/abs/2408.09869},
eprint={2408.09869},
doi = "10.48550/arXiv.2408.09869",
version = {1.0.0},
year = {2024}
}
@article{kirillov2023segany,
title={Segment Anything},
author={Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C. and Lo, Wan-Yen and Doll{\'a}r, Piotr and Girshick, Ross},
journal={arXiv:2304.02643},
year={2023}
}
@misc{zhang2022opt,
title={OPT: Open Pre-trained Transformer Language Models},
author={Susan Zhang and Stephen Roller and Naman Goyal and Mikel Artetxe and Moya Chen and Shuohui Chen and Christopher Dewan and Mona Diab and Xian Li and Xi Victoria Lin and Todor Mihaylov and Myle Ott and Sam Shleifer and Kurt Shuster and Daniel Simig and Punit Singh Koura and Anjali Sridhar and Tianlu Wang and Luke Zettlemoyer},
year={2022},
eprint={2205.01068},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@article{wei2023vary,
title={Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models},
author={Wei, Haoran and Kong, Lingyu and Chen, Jinyue and Zhao, Liang and Ge, Zheng and Yang, Jinrong and Sun, Jianjian and Han, Chunrui and Zhang, Xiangyu},
journal={arXiv preprint arXiv:2312.06109},
year={2023}
}
@article{wei2024small,
title={Small Language Model Meets with Reinforced Vision Vocabulary},
author={Wei, Haoran and Kong, Lingyu and Chen, Jinyue and Zhao, Liang and Ge, Zheng and Yu, En and Sun, Jianjian and Han, Chunrui and Zhang, Xiangyu},
journal={arXiv preprint arXiv:2401.12503},
year={2024}
}
Runs of ds4sd CodeFormula on huggingface.co
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More Information About CodeFormula huggingface.co Model
CodeFormula huggingface.co is an AI model on huggingface.co that provides CodeFormula's model effect (), which can be used instantly with this ds4sd CodeFormula model. huggingface.co supports a free trial of the CodeFormula model, and also provides paid use of the CodeFormula. Support call CodeFormula model through api, including Node.js, Python, http.
CodeFormula huggingface.co is an online trial and call api platform, which integrates CodeFormula's modeling effects, including api services, and provides a free online trial of CodeFormula, you can try CodeFormula online for free by clicking the link below.
ds4sd CodeFormula online free url in huggingface.co:
CodeFormula is an open source model from GitHub that offers a free installation service, and any user can find CodeFormula on GitHub to install. At the same time, huggingface.co provides the effect of CodeFormula install, users can directly use CodeFormula installed effect in huggingface.co for debugging and trial. It also supports api for free installation.