File size: 334 Bytes
76fc7d0 f755533 |
1 2 3 4 5 6 7 |
---
license: mit
---
# ZINC-t5-v2
We trained T5 on SMILES from ZINC using the task of masked-language modeling (MLM). Compared to ZINC-t5-v1, ZINC-t5-v2 uses a character-level tokenizer. This model can be used for the prediction of molecules' properties, reactions, or interactions with proteins by changing the way of finetuning.
|