Skip to main content

Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference

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. However, you can install Torch Model Archiver stand alone.

Detailed documentation and examples are provided in the README.

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

File details

Details for the file torch_model_archiver_nightly-2024.11.12-py3-none-any.whl.

File metadata

File hashes

Hashes for torch_model_archiver_nightly-2024.11.12-py3-none-any.whl
Algorithm Hash digest
SHA256 bbefbfa0f6e7f45da834d28602c9edd26952c8b742eddd51fade91ac75e1cc85
MD5 73509cf7b773434777bc5eabb08f7de9
BLAKE2b-256 549554ed2f6faf08f5e2bc96523ce4e2dd7aedb8469dddb9a305e7b9fcf356a5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page