The Transformers library remains the primary framework for deploying state-of-the-art machine learning models. It provides standardized APIs for text, vision, and audio tasks. Developers use it to bridge the gap between raw research and production inference. This dominance simplifies how practitioners integrate multimodal models into existing software stacks without writing custom boilerplate code.