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# -*- coding: utf-8 -*-
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"""
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Introduction to TorchServe
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==========================
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**Author:** `Krishna Kalyan <https://github.com/krishnakalyan3>`_
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"""
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#########################################################################
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# Introduction
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# ------------
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# Torchserve is an open source framework for model inference, it’s a project
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# that’s co-developed by the Applied AI team at Meta and AWS.
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# Torchserve is today the default way to serve PyTorch models in Sagemaker, Kubeflow, MLflow, Kserve and Vertex AI.
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# TorchServe supports multiple backends and runtimes such as TensorRT,
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# ONNX and its flexible design allows users to add more.
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#
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# Installation
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# ------------
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#
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# pip install torchserve or conda install torchserve
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#

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