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
2 maintainers
Release files for torch-model-archiver 0.12.0
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_model_archiver-0.12.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / torch_model_archiver-0.12.0-py3-none-any.whl
| Download URL | torch_model_archiver-0.12.0-py3-none-any.whl |
|---|---|
| Size | 16.1 kB |
| Tags | Python 3 |
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