Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference

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  • License: Apache License Version 2.0
  • Author: PyTorch Serving team
  • Tags TorchServe, Torch, Model, Archive, Archiver, Server, Serving, Deep, Learning, Inference, AI

Project description

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

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

Torch Model Archiver is part of TS. However,you can install Torch Model Archiver stand alone.

Detailed documentation and examples are provided in the README.

Installation

pip install torch-model-archiver

Development

We welcome new contributors of all experience levels. For information on how to install MMS for development, refer to the TS docs.

Source code

You can check the latest source code as follows:

git clone https://github.com/pytorch/serve.git

Testing

After installation, try out the MMS Quickstart for Create a model archive and Serving a Model.

Help and Support

Citation

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

Project details

Verified details

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Maintainers
Avatar for agunapal from gravatar.com agunapal Avatar for hamidnazeri from gravatar.com hamidnazeri Avatar for marksaroufim from gravatar.com marksaroufim Avatar for seemethere from gravatar.com seemethere

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache License Version 2.0
  • Author: PyTorch Serving team
  • Tags TorchServe, Torch, Model, Archive, Archiver, Server, Serving, Deep, Learning, Inference, AI

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0.12.0

0.11.1

0.11.0

0.10.0

0.9.0

0.8.2

0.8.1

0.8.0

0.7.1

0.7.0

0.6.1

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.2

0.4.1

0.4.0

0.3.1

0.3.0

0.2.1

0.2.0

0.1.1

This version

0.1.0b20200409 pre-release

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