Hugging Face Transformers is an open-source library designed for natural language processing (NLP) tasks. It provides pre-trained models for a wide range of applications, including text classification, named entity recognition, machine translation, and question answering. The library supports state-of-the-art models such as BERT, GPT, and T5, enabling users to easily fine-tune and deploy them for various NLP tasks. Hugging Face has a user-friendly API and integrates seamlessly with PyTorch and TensorFlow. It has gained popularity in the research and industry community for its vast model hub and ease of use, making advanced NLP accessible to developers and researchers.