  Using code-mixed data in natural language processing (NLP) research currently
gets a lot of attention. Language identification of social media code-mixed
text has been an interesting problem of study in recent years due to the
advancement and influences of social media in communication. This paper
presents the Instituto Polit\'ecnico Nacional, Centro de Investigaci\'on en
Computaci\'on (CIC) team's system description paper for the CoLI-Kanglish
shared task at ICON2022. In this paper, we propose the use of a Transformer
based model for word-level language identification in code-mixed Kannada
English texts. The proposed model on the CoLI-Kenglish dataset achieves a
weighted F1-score of 0.84 and a macro F1-score of 0.61.
