Metadata-Version: 2.1
Name: torch-model-archiver
Version: 0.2.0
Summary: Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference
Home-page: https://github.com/pytorch/serve/model-archiver/
Author: PyTorch Serving team
Author-email: noreply@noreply.com
License: Apache License Version 2.0
Keywords: TorchServe Torch Model Archive Archiver Server Serving Deep Learning Inference AI
Platform: UNKNOWN
Requires-Dist: future
Requires-Dist: enum-compat

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 <https://pypi.org/project/torchserve/>`__.
However, you can install Torch Model Archiver stand alone.

Detailed documentation and examples are provided in the `README
<https://github.com/pytorch/serve/model-archiver/README.md>`__.


Installation
------------

::

    pip install torch-model-archiver

Source code
-----------

You can check the latest source code as follows:

::

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


Citation
--------

If you use torchserve in a publication or project, please cite torchserve:
https://github.com/pytorch/serve


