Lite Detective is a lightweight yet accurate model for detecting toxic content in Chinese. It leverages efficient neural architectures to achieve high accuracy while being fast and easy to deploy, making it suitable for real-world applications and resource-constrained environments.
Our model combines a lightweight transformer encoder with a multi-scale CNN feature extractor and a context-aware classification head.