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-2024.6.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | facf9b2352d0ae04a67c17e3380a2ca9a4d29066fb114c9acd7f31dace45e3f8 |
|
MD5 | 4cfb26ab5c9dd135de10e1b1cc9e33c9 |
|
BLAKE2b-256 | b4f279ea0aa44b4791c9e449f0d45e8bdf9f8a006b85e64dcecf320de2bf3b67 |