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 <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/model-archiver/README.md>`__.
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
Raw data
{
"_id": null,
"home_page": "https://github.com/pytorch/serve/model-archiver/",
"name": "torch-model-archiver-nightly",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "TorchServe Torch Model Archive Archiver Server Serving Deep Learning Inference AI",
"author": "PyTorch Serving team",
"author_email": "noreply@noreply.com",
"download_url": "",
"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 for TorchServe inference.\n\nUse the Torch Model Archiver CLI to start 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/model-archiver/README.md>`__.\n\n\nInstallation\n------------\n\n::\n\n 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": "2023.6.7",
"project_urls": {
"Homepage": "https://github.com/pytorch/serve/model-archiver/"
},
"split_keywords": [
"torchserve",
"torch",
"model",
"archive",
"archiver",
"server",
"serving",
"deep",
"learning",
"inference",
"ai"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "bb1bd808957aaa512be89f0465ca20674661018f23cc6b56ca57d964d40273d9",
"md5": "df957ba368c6049282e46ce27f15baae",
"sha256": "f2be5af40feb757a270564385cacc196ab9e3ea8c215f3172c81135432b3b044"
},
"downloads": -1,
"filename": "torch_model_archiver_nightly-2023.6.7-py3-none-any.whl",
"has_sig": false,
"md5_digest": "df957ba368c6049282e46ce27f15baae",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 14820,
"upload_time": "2023-06-07T11:26:16",
"upload_time_iso_8601": "2023-06-07T11:26:16.380304Z",
"url": "https://files.pythonhosted.org/packages/bb/1b/d808957aaa512be89f0465ca20674661018f23cc6b56ca57d964d40273d9/torch_model_archiver_nightly-2023.6.7-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-06-07 11:26:16",
"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"
}
JSON
