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Hugging Face Trainer APIgithub.comTransformers is a model-definition framework for state-of-the-art machine learning across text, computer vision, audio, video, and multimodal tasks, supporting both inference and training. It centralizes the model definition and acts as a pivot across frameworks, ensuring compatibility with most training frameworks, inference engines, and related modeling libraries that leverage the transformers definition. With over one million model checkpoints on the Hugging Face Hub, Transformers is designed to be simple, customizable, and efficient, and it supports easy installation on Python 3.10+ with PyTorch 2.5+.
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