torch-model-archiver

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

These details have been verified by PyPI

These details have not been verified by PyPI

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.

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

Algorithm	Hash digest
SHA256	`a3481be3fa59f37ec02cb9e8500f8bdd2697ad8a68f606f01791c536da22a782`
MD5	`ae92ec9985fa20c940f84f76fc449073`
BLAKE2b-256	`dd5e05f704d645a1e6514e8cffd0083a65cbaa48870b804f23e6fdbe17d17622`