This repository provides implementations for multi-label text classification using multiple neural architectures. It supports BERT-based classification using the [CLS] token embedding, TextCNN on BERT outputs, dense layers, and seq2seq models. The library uses sigmoid cross-entropy loss for multi-label prediction and includes utilities for handling variable-length label assignments.