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 inference.
Use the Torch Model Archiver CLI to start create a .mar file.
Torch Model Archiver is part of TS. However,you can install Torch Model Archiver stand alone.
Detailed documentation and examples are provided in the README.
Installation
pip install torch-model-archiver
Development
We welcome new contributors of all experience levels. For information on how to install MMS for development, refer to the TS docs.
Important links
Source code
You can check the latest source code as follows:
git clone https://github.com/pytorch/serve.git
Testing
After installation, try out the MMS Quickstart for Create a model archive and Serving a Model.
Help and Support
Citation
If you use MMS in a publication or project, please cite MMS: https://github.com/awslabs/mxnet-model-server
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-0.1.0b20200409-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8650e61fbb7200cfc4dec24efef0f6c2659d882e32f039681483bbd18f4f9cc2 |
|
| MD5 | f03a2dae33396b808917413e0e17df57 |
|
| BLAKE2b-256 | 20463377d63586d1d13c52ac79ab65e20f7aa465620356d738044226d092951d |
