• Authors: Milan Gautam, Sulav Timilsina and Binod Bhattarai

This website contains the official release of the model NepBERTa and associated downstream finetuning code, datasets, and benchmarks introduced in the paper titled, NepBERTa: Nepali Language Model Trained in a Large Corpus, which is published in The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: AACL-IJCNLP 2022.