The Transformers library remains the primary framework for implementing state-of-the-art machine learning models. It provides standardized APIs for text, vision, and audio tasks. Developers use it to streamline both inference and training workflows. This dominance simplifies how practitioners deploy Hugging Face models, though it creates a heavy dependency on a single ecosystem.