Tag
NE-BERT is a multilingual encoder model trained on 8.3 million sentences for nine Northeast Indian languages and two anchor languages, outperforming existing models like IndicBERT-V2 and MuRIL with significant gains on ultra-low-resource languages through custom tokenization.