This repository serves as an introductory tutorial for new members of the TANGENT lab at Peking University to learn NLP. It covers foundational topics in machine learning, deep learning, and natural language processing, progressing through hands-on tasks including text classification, named entity recognition with LSTM-CRF, neural machine translation, and transformer-based pre-trained language models. The tutorial leverages the Huggingface Transformers ecosystem and Trainer for practical implementation.