This repository provides hands-on tutorials for fine-tuning transformer-based models on diverse natural language processing tasks. It covers popular architectures like BERT, T5, and DistilBERT using the Hugging Face Transformers library and PyTorch. The tutorials include tasks such as text classification and named entity recognition, demonstrating transfer learning workflows for NLP problems.