PyTorch Mobile is a framework that allows developers to deploy PyTorch models on mobile devices (Android and iOS) and other edge devices. It enables on-device inference, which offers benefits such as lower latency, increased privacy, and offline functionality. It's commonly used for applications like image recognition, natural language processing, and personalized recommendations directly on user's devices.
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