model_cards/regression_transformer_description.md

Concurrent sequence regression and generation for molecular language modeling**

The RT is a multitask Transformer that reformulates regression as a conditional sequence modeling task. This yields a dichotomous language model that seamlessly integrates regression with property-driven conditional generation task. Further reading: arXiv preprint and GitHub development code.

Each algorithm_version refers to one trained model. Each model can be used for two tasks, either to predict one (or multiple) properties of a molecule or to generate a molecule (given a seed molecule and a property constraint).