ParsBERT is a transformer-based language model built on Google’s BERT architecture, specifically designed for Persian language understanding. It was pre-trained on a large corpus of Persian text including Wikipedia dumps, books, news articles, and various web sources. The model supports three downstream tasks: sentiment analysis, text classification, and named entity recognition (NER), achieving state-of-the-art results on Persian NLP benchmarks.