transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and
About this project
Transformers is Hugging Face's model-definition framework for state-of-the-art machine learning across text, computer vision, audio, video, and multimodal models, supporting both inference and training. It centralizes each model's definition so that a single, agreed-upon implementation can be shared across the ecosystem, making supported models compatible with the majority of training frameworks. Written in Python, it serves researchers and engineers who work with pretrained models and want a common foundation across tools.
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