This project adapts ALBERT, a lite version of BERT, for Chinese Named Entity Recognition by fine-tuning the pretrained model on NER data. It uses TensorFlow and follows the standard BERT fine-tuning approach, training on labeled NER datasets to predict entity tags like B-LOC, I-PER for location and person entities.