semvec/pypi-packages huggingface dataset:
torch-workflow-archiver 0.2.15
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 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/blob/master/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 0.12.0
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 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
torchserve 0.12.0
TorchServe is a tool for serving neural net models for inference
License: Apache License Version 2.0
Keywords: TorchServe PyTorch Serving Deep Learning Inference AI

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

TorchServe is a flexible and easy to use tool for
serving `PyTorch <http://pytorch.org/>`__ models in production.

Use the TorchServe CLI, or the pre-configured Docker images, to start a
service that sets up HTTP endpoints to handle model inference requests.

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

Full installation instructions are in the project repo: https://github.com/pytorch/serve/blob/master/README.md


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