Project Description
===================
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 <https://pypi.org/project/torchserve/>`__.
However, you can install Torch Model Archiver stand alone.
Detailed documentation and examples are provided in the `README
<https://github.com/pytorch/serve/blob/master/model-archiver/README.md>`__.
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
Raw data
{
"_id": null,
"home_page": "https://github.com/pytorch/serve/blob/master/model-archiver",
"name": "torch-model-archiver-nightly",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "TorchServe Torch Model Archive Archiver Server Serving Deep Learning Inference AI",
"author": "PyTorch Serving team",
"author_email": "noreply@noreply.com",
"download_url": null,
"platform": null,
"description": "Project Description\n===================\n\nTorch Model Archiver is a tool used for creating archives of trained neural net models that can be consumed by TorchServe for inference.\n\nUse the Torch Model Archiver CLI to create a ``.mar`` file.\n\nTorch Model Archiver is part of `TorchServe <https://pypi.org/project/torchserve/>`__.\nHowever, you can install Torch Model Archiver stand alone.\n\nDetailed documentation and examples are provided in the `README\n<https://github.com/pytorch/serve/blob/master/model-archiver/README.md>`__.\n\n\nInstallation\n------------\n\n::\n\n python -m pip install torch-model-archiver\n\nSource code\n-----------\n\nYou can check the latest source code as follows:\n\n::\n\n git clone https://github.com/pytorch/serve.git\n\n\nCitation\n--------\n\nIf you use torchserve in a publication or project, please cite torchserve:\nhttps://github.com/pytorch/serve\n",
"bugtrack_url": null,
"license": "Apache License Version 2.0",
"summary": "Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference",
"version": "2025.1.19",
"project_urls": {
"Homepage": "https://github.com/pytorch/serve/blob/master/model-archiver"
},
"split_keywords": [
"torchserve",
"torch",
"model",
"archive",
"archiver",
"server",
"serving",
"deep",
"learning",
"inference",
"ai"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "6acde47d1244334d4eb7d7e55f51823222d83e73322ab27c111c6f09260c7334",
"md5": "1331d63e12aee828482fe76bae802251",
"sha256": "2d8ac28dda8b7fb49f7c7c49a5a6560261cc22abba2f640a15aed1a716dfd5fd"
},
"downloads": -1,
"filename": "torch_model_archiver_nightly-2025.1.19-py3-none-any.whl",
"has_sig": false,
"md5_digest": "1331d63e12aee828482fe76bae802251",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 16380,
"upload_time": "2025-01-19T11:25:51",
"upload_time_iso_8601": "2025-01-19T11:25:51.715665Z",
"url": "https://files.pythonhosted.org/packages/6a/cd/e47d1244334d4eb7d7e55f51823222d83e73322ab27c111c6f09260c7334/torch_model_archiver_nightly-2025.1.19-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-01-19 11:25:51",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "pytorch",
"github_project": "serve",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "torch-model-archiver-nightly"
}