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Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering

Captures expert routing indices during inference and replays them during training passes to ensure consistent expert paths in mixture-of-experts models.