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
Built Distribution
Hashes for torch_model_archiver_nightly-2023.10.23-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fbbb079762ffa9963fdf225800e1c85ad50cef777f8e97451003ff7c8557f57a |
|
MD5 | 75febfb22f91e72e57c44b4dc5dc8c09 |
|
BLAKE2b-256 | 0f607233e1ff0f8bcec3ac500ef7d7785b22aa8ef793d9383a15a5e1f533fa37 |