Pre-release
This release is a pre-release and may not be stable for production use.
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
1 maintainer
Metadata
1 maintainer
Release files for torch-model-archiver-ag 0.6.0b20220624
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_model_archiver_ag-0.6.0b20220624-py3-none-any.whl | Python 3 | none | any | Details |
Release files / torch_model_archiver_ag-0.6.0b20220624-py3-none-any.whl
| Download URL | torch_model_archiver_ag-0.6.0b20220624-py3-none-any.whl |
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| Size | 14.5 kB |
| Tags | Python 3 |
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