Fairseq is a sequence modeling toolkit developed by Facebook AI Research that enables researchers to train custom models for text generation tasks including translation, summarization, and language modeling. It provides reference implementations of various sequence modeling papers covering convolutional and transformer architectures. Built on PyTorch, it serves as both a research framework and practical training tool for NLP models.