This repository provides Jupyter Notebook tutorials for building sequence classification models for sentiment analysis using PyTorch. It covers multiple neural architectures including neural bag-of-words, recurrent neural networks (LSTM), convolutional neural networks, and transformer-based models like BERT. The tutorials demonstrate data loading with TorchText and guide users through training models to classify sentiment from movie reviews.