DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.
The docs for a package shouldn't all live in the README - it makes sense to have a more full documentation that's living somewhere else. Most python packages use Sphinx to do this. After #2 is resolved, I could also send a PR to set up the structure for automatically building docs. This would be a place to put the more high level/fluffy text that I mentioned in #3
The docs for a package shouldn't all live in the README - it makes sense to have a more full documentation that's living somewhere else. Most python packages use Sphinx to do this. After #2 is resolved, I could also send a PR to set up the structure for automatically building docs. This would be a place to put the more high level/fluffy text that I mentioned in #3