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README.md

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 # 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.
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 ## 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 molecular prefix tuning (MPT), MolGen can generate molecules with desired properties, making it a valuable tool for molecular optimization.
 
+## Intended uses & limitations
+You can use the raw model for molecular generation or fine-tune it to a downstream task. See the [repository](https://github.com/zjunlp/MolGen) to look for fine-tune details on a task that interests you.
 
 ### BibTeX entry and citation info
 ```bibtex