sagawa/ReactionT5v1-forward

This is a ReactionT5 pre-trained to predict the products of reactions. You can use the demo here.

This is a ReactionT5 pre-trained to predict the reactants of reactions. You can use the demo here.

## Example Usage ```python from transformers import AutoTokenizer, T5ForConditionalGeneration

Here is the pretrained version of PolyTAO, the first pretrained generative language model for polymer design.

SMILES2IUPAC-canonical-base was designed to accurately translate SMILES chemical names to IUPAC standards.

Medical mT5: An Open-Source Multilingual Text-to-Text LLM for the Medical Domain