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

We welcome new contributors of all experience levels. For information on how to install MMS for development, refer to the TS docs.

You can check the latest source code as follows:

git clone https://github.com/pytorch/serve.git

After installation, try out the MMS Quickstart for Create a model archive and Serving a Model.

If you use MMS in a publication or project, please cite MMS: https://github.com/awslabs/mxnet-model-server

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Table of built distributions (wheels) for torch-model-archiver 0.1.0b20200409
File	Interpreter	ABI	Platform	Reset
torch_model_archiver-0.1.0b20200409-py3-none-any.whl 15.8 kB Apr 21, 2020	Python 3	none	any	Details

Download URL	torch_model_archiver-0.1.0b20200409-py3-none-any.whl
Size	15.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`8650e61fbb7200cfc4dec24efef0f6c2659d882e32f039681483bbd18f4f9cc2`
BLAKE2b-256 checksum How to use checksums	`20463377d63586d1d13c52ac79ab65e20f7aa465620356d738044226d092951d`
Upload date	Apr 21, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1`