fastHan is a Chinese natural language processing toolkit built on fastNLP and PyTorch that leverages a BERT-based joint model to simultaneously handle multiple tasks including word segmentation, part-of-speech tagging, dependency parsing, and named entity recognition. The model was trained on 15 corpora and also supports ancient Chinese NLP tasks. It aims to provide spaCy-like ease of use for Chinese NLP applications.