torch-model-archiver
Advanced tools
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference
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>__.
::
python -m pip install torch-model-archiver
You can check the latest source code as follows:
::
git clone https://github.com/pytorch/serve.git
If you use torchserve in a publication or project, please cite torchserve: https://github.com/pytorch/serve
FAQs
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference
We found that torch-model-archiver demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.