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-2023.10.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 54e6e3576660508498b3b18325b0707fb2fa3126a03211d6b1db365c7897a2d6 |
|
MD5 | 4ff067ca9cfb624223f0b3f5e219aeae |
|
BLAKE2b-256 | f01389cfb5c49d8bb1ea3253f403478e3c4872d7b69723b23f785cbae28feef2 |