semvec/pypi-packages huggingface dataset:
torch-workflow-archiver-ag 0.2.4b20220624
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference
License: Apache License Version 2.0
Keywords: TorchServe Torch Workflow Archive Archiver Server Serving Deep Learning Inference AI

Project Description
===================

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

Use the Torch Workflow Archiver CLI to start create a ``.war`` file.

Torch Workflow Archiver is part of `TorchServe <https://pypi.org/project/torchserve/>`__.
However, you can install Torch Workflow Archiver stand alone.

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


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

::

    pip install torch-workflow-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
torch-model-archiver-ag 0.6.0b20220624
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference
License: Apache License Version 2.0
Keywords: 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 for TorchServe inference.

Use the Torch Model Archiver CLI to start 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/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