Update README.md

README.md

@@ -1,3 +1,51 @@
----
-license: mit
----
+---
+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}
+}
+
+```