Create Readme.md

Readme.md

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+---
+# language: SELFIES
+tags:
+- molecular language model
+
+---
+	
+# MolGen
+MolGen was introduced in the paper ["Molecular Language Model as Multi-task Generator"](https://arxiv.org/pdf/2301.11259.pdf) and first released in [this repository](https://github.com/zjunlp/MolGen). It is a pre-trained molecular generative model built using the 100\% robust molecular language representation, SELFIES.
+## Model description
+MolGen is the first pre-trained model that only produces chemically valid molecules. 
+With a training corpus of over 100 million molecules in SELFIES representation, MolGen learns the intrinsic structural patterns of molecules by mapping corrupted SELFIES to their original forms.
+Specifically, MolGen employs a bidirectional Transformer as its encoder and an autoregressive Transformer as its decoder.
+Through its carefully designed multi-task prefix tuning (MPT), MolGen can generate molecules with specific properties, making it a valuable tool for molecular optimization.
+
+
+### BibTeX entry and citation info
+```bibtex
+@article{fang2023molecular,
+  title={Molecular Language Model as Multi-task Generator},
+  author={Fang, Yin and Zhang, Ningyu and Chen, Zhuo and Fan, Xiaohui and Chen, Huajun},
+  journal={arXiv preprint arXiv:2301.11259},
+  year={2023}
+}
+```