indobenchmark/indobert-lite-base-p1

IndoBERT is a state-of-the-art language model for Indonesian based on the BERT model . The pretrained model is trained using a masked language modeling (MLM) objective and next sentence prediction (NSP) objective . The model was trained and evaluated by Bryan Wilie, Karissa Vincentio, Genta Indra Winata, Samuel Cahyawijaya, Xiaohong Li, Zhi Yuan Lim, Sidik Soleman, Rahmad Mahendra, Pascale Fung, Syafri Bahar, Ayu Purwarianti . The training data includes pre-trained models and tokenizer tokens . The data was used to extract contextual,