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 for TorchServe inference.
Use the Torch Model Archiver CLI to start 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
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
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
File details
Details for the file torch_model_archiver_nightly-2022.5.11-py3-none-any.whl.
File metadata
- Download URL: torch_model_archiver_nightly-2022.5.11-py3-none-any.whl
- Upload date:
- Size: 14.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 209c32c7bb662c4a364e50e32081bb14e57427e93b4efabe8da46f72138ed1a0 |
|
| MD5 | cb12721777a9965c3a2ab0f47aea6421 |
|
| BLAKE2b-256 | 014a00a3aaf1e5351a806fe3a06a03b9fd667c645e88bcdd545a8d0c9f4022b9 |
