Buckets:
| license: cdla-permissive-2.0 | |
| datasets: | |
| - ds4sd/SynthFormulaNet | |
| - ds4sd/SynthCodeNet | |
| tags: | |
| - ocr | |
| - code | |
| - math | |
| - formula | |
| # Code Formula Model | |
| 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:<br> | |
| "<\_\<programming language\>\_> \<content of the image\>"<br> | |
| Example:<br> | |
| "<_Java_> System.out.println("Hello World.");" | |
| - **Formulas**: | |
| The model generates the corresponding LaTeX code. | |
| This model was trained using the following two datasets: | |
| 1. https://huggingface.co/datasets/ds4sd/SynthFormulaNet | |
| 2. https://huggingface.co/datasets/ds4sd/SynthCodeNet | |
| # References | |
| ```bibtex | |
| @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{nassar2025smoldocling, | |
| title={SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion}, | |
| 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}, | |
| journal={arXiv preprint arXiv:2503.11576}, | |
| year={2025} | |
| } | |
| ``` |
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