Project Description
===================
Torch Model Archiver is a tool used for creating archives of trained neural net models that can be consumed by TorchServe for inference.
Use the Torch Model Archiver CLI to create a ``.mar`` file.
Torch Model Archiver is part of `TorchServe <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/blob/master/model-archiver/README.md>`__.
Installation
------------
::
python -m 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
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"description": "Project Description\n===================\n\nTorch Model Archiver is a tool used for creating archives of trained neural net models that can be consumed by TorchServe for inference.\n\nUse the Torch Model Archiver CLI to create a ``.mar`` file.\n\nTorch Model Archiver is part of `TorchServe <https://pypi.org/project/torchserve/>`__.\nHowever, you can install Torch Model Archiver stand alone.\n\nDetailed documentation and examples are provided in the `README\n<https://github.com/pytorch/serve/blob/master/model-archiver/README.md>`__.\n\n\nInstallation\n------------\n\n::\n\n python -m pip install torch-model-archiver\n\nSource code\n-----------\n\nYou can check the latest source code as follows:\n\n::\n\n git clone https://github.com/pytorch/serve.git\n\n\nCitation\n--------\n\nIf you use torchserve in a publication or project, please cite torchserve:\nhttps://github.com/pytorch/serve\n",
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