sagawa/ReactionT5v2-forward

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

This is a ReactionT5 pre-trained to predict the products of reactions.

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

# DrugGen 2: A disease-aware language model for enhancing drug discovery DrugGen-2 is a disease‑aware language model specialized for generating drug-like SMILES structures based on both disease pathways and protein sequence.

SmileBERTa is a RoBERTa-based language model for chemistry, built on the ChemBERTa architecture and fine-tuned to predict small-molecule fragment SMILES from full small-molecule drug SMILES.

> [!IMPORTANT] > Better using New version of ChemLLM! > AI4Chem/ChemLLM-7B-Chat-1.5-DPO or AI4Chem/ChemLLM-7B-Chat-1.5-SFT