Update README.md

README.md

@@ -21,16 +21,16 @@ It also has one more BERT based model that has 47million parameters, also capabl
 ### Model Description
 
 - **Developed by:** [Shivendra Singh]()
-- **License:** [MIT]
+- **License:** MIT
 
 ### Model Sources
 
 - **Repository:** [github/enigma-1.5b](https://github.com/shivendrra/enigma-1.5b)
-- **Papers**: [# Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision](https://arxiv.org/html/2311.02333v2#bib.bib35
+- **Papers**: [Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision](https://arxiv.org/html/2311.02333v2#bib.bib35
 
 ## Uses
 
-Can be used to generate new sequences of DNA on a given input of tokens. Or can be used for further research. Anyway, it's very basic in nature.
+Can be used to generate new sequences of DNA on a given input of tokens. Or can be used for further research. Anyway, it's very basic in nature. I'll add more functionalities which includes classification of dna, masked token generation, etc. Maybe even implement MOE techinque in future.
 ### Direct Use
 
 Load the model and then can be used to generate new sequences, `max_length=512` for 2.5b model and `256` for enbert-47m model.