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        "description": "Project Description\n===================\n\nApache MXNet Model Server (MMS) is a flexible and easy to use tool for\nserving deep learning models exported from `MXNet <http://mxnet.io/>`__\nor the Open Neural Network Exchange (`ONNX <http://onnx.ai/>`__).\n\nUse the MMS Server CLI, or the pre-configured Docker images, to start a\nservice that sets up HTTP endpoints to handle model inference requests.\n\nDetailed documentation and examples are provided in the `docs\nfolder <https://github.com/awslabs/mxnet-model-server/blob/master/docs/README.md>`__.\n\nPrerequisites\n-------------\n\n* **java 8**: Required. MMS use java to serve HTTP requests. You must install java 8 (or later) and make sure java is on available in $PATH environment variable *before* installing MMS. If you have multiple java installed, you can use $JAVA_HOME environment vairable to control which java to use.\n* **mxnet**: `mxnet` will not be installed by default with MMS 1.0 any more. You have to install it manually if you use MxNet.\n\nFor ubuntu:\n::\n\n    sudo apt-get install openjdk-8-jre-headless\n\n\nFor centos\n::\n\n    sudo yum install java-1.8.0-openjdk\n\n\nFor Mac:\n::\n\n    brew tap caskroom/versions\n    brew update\n    brew cask install java8\n\n\nInstall MxNet:\n::\n\n    pip install mxnet\n\nMXNet offers MKL pip packages that will be much faster when running on Intel hardware.\nTo install mkl package for CPU:\n::\n\n    pip install mxnet-mkl\n\nor for GPU instance:\n\n::\n\n    pip install mxnet-cu92mkl\n\n\nInstallation\n------------\n\n::\n\n    pip install mxnet-model-server\n\nDevelopment\n-----------\n\nWe welcome new contributors of all experience levels. For information on\nhow to install MMS for development, refer to the `MMS\ndocs <https://github.com/awslabs/mxnet-model-server/blob/master/docs/install.md>`__.\n\nImportant links\n---------------\n\n-  `Official source code\n   repo <https://github.com/awslabs/mxnet-model-server>`__\n-  `Download\n   releases <https://pypi.org/project/mxnet-model-server/#files>`__\n-  `Issue\n   tracker <https://github.com/awslabs/mxnet-model-server/issues>`__\n\nSource code\n-----------\n\nYou can check the latest source code as follows:\n\n::\n\n    git clone https://github.com/awslabs/mxnet-model-server.git\n\nTesting\n-------\n\nAfter installation, try out the MMS Quickstart for\n\n- `Serving a Model <https://github.com/awslabs/mxnet-model-server/blob/master/README.md#serve-a-model>`__\n- `Create a Model Archive <https://github.com/awslabs/mxnet-model-server/blob/master/README.md#model-archive>`__.\n\nHelp and Support\n----------------\n\n-  `Documentation <https://github.com/awslabs/mxnet-model-server/blob/master/docs/README.md>`__\n-  `Forum <https://discuss.mxnet.io/latest>`__\n\nCitation\n--------\n\nIf you use MMS in a publication or project, please cite MMS:\nhttps://github.com/awslabs/mxnet-model-server\n\n\n",
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        "keywords": "MXNet Model Server Serving Deep Learning Inference AI",
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