TorchServe is a flexible and easy-to-use tool for serving PyTorch models. It simplifies the process of deploying PyTorch models to production by providing features like model versioning, logging, metrics, and RESTful endpoints. It is commonly used to deploy deep learning models for tasks such as image classification, object detection, and natural language processing.
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