model-archiver

Project Description

Model Archiver is a tool used for creating archives of trained neural net models that can be consumed by MXNet-Model-Server inference.

Use the Model Archiver CLI to start create a .mar file.

Model Archiver is part of MMS <https://pypi.org/project/mxnet-model-server/>__. However,you ca install Model Archiver stand alone.

Detailed documentation and examples are provided in the README <https://github.com/awslabs/mxnet-model-server/model-archiver/README.md>__.

Prerequisites

ONNX support is optional in model-archiver tool. It's not installed by default with model-archiver.

If you wish to package a ONNX model, you will need to first install a protobuf compiler, onnx and mxnet manually.

Instructions for installing Model Archiver with ONNX <https://github.com/awslabs/mxnet-model-server/blob/master/model-archiver/docs/convert_from_onnx.md#install-model-archiver-with-onnx-support>__.

Installation

::

pip install model-archiver

Development

We welcome new contributors of all experience levels. For information on how to install MMS for development, refer to the MMS docs <https://github.com/awslabs/mxnet-model-server/blob/master/docs/install.md>__.

Important links

• Official source code repo <https://github.com/awslabs/mxnet-model-server>__
• Download releases <https://pypi.org/project/mxnet-model-server/#files>__
• Issue tracker <https://github.com/awslabs/mxnet-model-server/issues>__

Source code

You can check the latest source code as follows:

::

git clone https://github.com/awslabs/mxnet-model-server.git

Testing

After installation, try out the MMS Quickstart for Create a model archive <https://github.com/awslabs/mxnet-model-server/blob/master/README.md#model-archive>__ and Serving a Model <https://github.com/awslabs/mxnet-model-server/blob/master/README.md#serve-a-model>__.

Help and Support

• Documentation <https://github.com/awslabs/mxnet-model-server/blob/master/docs/README.md>__
• Forum <https://discuss.mxnet.io/latest>__

Citation

If you use MMS in a publication or project, please cite MMS: https://github.com/awslabs/mxnet-model-server