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-2023.9.30-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 47cf176bae641f8310d631dc23da575e04c9ba2423fa5b970fa9d12e339c2221 |
|
MD5 | ba13d3dbf9ed915c205ef0d1a9f882d7 |
|
BLAKE2b-256 | 6572b072b02b7a38aeafcb40b1d620398e770c2961a1402693b8fc644384cedf |