Unified framework for state-of-the-art machine learning models
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Hugging Face Transformers is a software library that provides a unified framework for building and deploying state-of-the-art machine learning models in various domains, including text, computer vision, audio, video, and multimodal processing. It centralizes model definitions to ensure consistency across the ecosystem and supports training and inference with pre-trained models. With over 1 million model checkpoints available on the Hugging Face Hub, it enables users to easily access and utilize these models for a wide range of applications.
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