c/transformers

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transformers: A model-definition framework for machine learning models across text, computer vision, audio, video, and multimodal tasks, supporting both inference and training.

What problem it solves Machine learning workflows need a shared model definition so that models can work consistently across training frameworks, inference engines, and adjacent modeling libraries. Transformers centralizes these definitions and exposes a unified interface for loading pretrained models, running inference, and adapting model internals. Key features Broad Model Support — The framewor…