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--- |
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license: cdla-permissive-2.0 |
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datasets: |
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- ds4sd/SynthFormulaNet |
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- ds4sd/SynthCodeNet |
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tags: |
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- ocr |
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- code |
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- math |
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- formula |
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--- |
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# Code Formula Model |
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The **Code Formula Model** processes an image of a code snippet or formula at 120 DPI and outputs its content. |
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- **Code Snippets**: |
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The model identifies the programming language and outputs the code repsecting the indendation shown in the given image. The output format will be:<br> |
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"<\_\<programming language\>\_> \<content of the image\>"<br> |
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Example:<br> |
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"<_Java_> System.out.println("Hello World.");" |
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- **Formulas**: |
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The model generates the corresponding LaTeX code. |
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This model was trained using the following two datasets: |
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1. https://huggingface.co/datasets/ds4sd/SynthFormulaNet |
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2. https://huggingface.co/datasets/ds4sd/SynthCodeNet |
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# References |
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```bibtex |
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@techreport{Docling, |
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author = {Deep Search Team}, |
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month = {8}, |
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title = {{Docling Technical Report}}, |
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url={https://arxiv.org/abs/2408.09869}, |
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eprint={2408.09869}, |
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doi = "10.48550/arXiv.2408.09869", |
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version = {1.0.0}, |
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year = {2024} |
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} |
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@article{nassar2025smoldocling, |
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title={SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion}, |
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author={Nassar, Ahmed and Marafioti, Andres and Omenetti, Matteo and Lysak, Maksym and Livathinos, Nikolaos and Auer, Christoph and Morin, Lucas and de Lima, Rafael Teixeira and Kim, Yusik and Gurbuz, A Said and others}, |
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journal={arXiv preprint arXiv:2503.11576}, |
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year={2025} |
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} |
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``` |
