A powerful library for working with transformer models and the broader ecosystem around the Model Hub. It offers unified APIs for tokenization, inference, and fine‑tuning across PyTorch, TensorFlow, and JAX, plus tooling for training, quantization, and deployment. We use Transformers to quickly select strong base models, adapt them to a client’s domain (SFT/LoRA), build RAG services, and run reproducible experiments.