This is the model of __PolyNC__ from the paper entitled as _"PolyNC: a natural and chemical language model for unified polymer properties prediction"_. This work features a a revolutionary model to enable rapid and precise prediction of Polymer properties via the power of Natural language and Chemical language (PolyNC). This work extends the powerful natural language understanding capabilities of AI to the field of polymer research, marking an impressive step towards the development of expert models and human-level AI for understanding polymer knowledge.

You can perform some the demos with huggingface API in the box on the right side, such as try this: _Predict the Tg of the following SMILES: c1cc(Oc2ccc(Oc3ccc(-n4c(=O)c5cc6c(c(=O)n()c6=O)cc5c4=O)cc3)cc2)ccc1_ or _Predict the heat resistance class of the following SMILES: c1cc(Oc2ccc(Oc3ccc(-n4c(=O)c5cc6c(c(=O)n()c6=O)cc5c4=O)cc3)cc2)ccc1_. Just enjoy it!

# Cite this:
```
@Article{D3SC05079C,
author ="Qiu, Haoke and Liu, Lunyang and Qiu, Xuepeng and Dai, Xuemin and Ji, Xiangling and Sun, Zhao-Yan",
title  ="PolyNC: a natural and chemical language model for the prediction of unified polymer properties",
journal  ="Chem. Sci.",
year  ="2024",
volume  ="15",
issue  ="2",
pages  ="534-544",
publisher  ="The Royal Society of Chemistry",
doi  ="10.1039/D3SC05079C",
url  ="http://dx.doi.org/10.1039/D3SC05079C"}

{"license": "apache-2.0"}
transformers pytorch t5 text2text-generation license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us