Fairseq is a PyTorch-based sequence modeling toolkit designed for researchers and developers to build custom models for tasks like translation, summarization, and language modeling. It supports various models including CNN, LSTM, and Transformer networks, and provides tools for training new models, evaluating pre-trained ones, and extending the toolkit with new tasks and models.
