{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"Torch Model Archiver creates .mar archive files from trained neural network models for deployment with TorchServe inference serving.","skillfed_tags":["model-serving","pytorch-ecosystem","archived"],"use_cases":["Package a trained PyTorch model into a .mar file for deployment on a TorchServe inference server.","Automate model archiving in a CI/CD pipeline to prepare models for production serving.","Bundle custom inference handlers with model weights for standardized deployment across teams.","Create reproducible model archives for sharing trained models with consistent serving configuration.","Prepare models for containerized inference services that consume TorchServe-compatible archives."],"what_it_does":"Torch Model Archiver is a command-line tool that packages trained PyTorch neural network models into .mar (model archive) files suitable for inference serving with TorchServe. It bundles the model weights, architecture, and a handler script into a single deployable artifact that TorchServe can load and use to serve predictions. The tool is part of the TorchServe ecosystem but can be installed standalone.\n\nThe package has low install friction\u2014it depends only on enum-compat\u2014and is distributed as a pure Python wheel. However, the underlying repository is archived and marked as abandoned, meaning no active development or maintenance is occurring. The last release was in September 2024, and while no known vulnerabilities are recorded, the lack of ongoing maintenance may be a concern for long-term production use or compatibility with future PyTorch versions.","worth_installing":"Yes, if you are already using TorchServe and need to package models for serving\u2014it is the standard tool for that task and has low install friction. However, approach with caution for new projects: the repository is archived and maintenance is abandoned, so security patches and compatibility updates with future PyTorch versions are unlikely. Evaluate whether TorchServe itself remains actively maintained and suitable for your deployment strategy."},"id":"torch-model-archiver","links":{"html":"https://skillfed.io/packages/torch-model-archiver","md":"https://skillfed.io/packages/torch-model-archiver.md","pypi":"https://pypi.org/project/torch-model-archiver/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2024-09-30","license_spdx":null,"license_treatment":"permissive","name":"torch-model-archiver","python_support":"unspecified","summary":"Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference"},"popularity":{"monthly_downloads":103470,"position":12803,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.12.0"}