Molecules have been widely converted to machine readable languages such as SMILES, InChI 51 and others. Here we chose SMILES as a language to input into the transformer, since (canonical) SMILES fully specifies the structure of a molecule, and via NLP, SMILES language has been proven successful in tackling multiple chemistry problems.