{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/6"}],"enrichment":{"capability":"Model Archiver creates `.mar` archive files from trained neural network models for use with MXNet-Model-Server inference.","skillfed_tags":["model-packaging","mxnet-legacy","archived"],"use_cases":["Package a trained PyTorch or MXNet model into a `.mar` file for deployment with MXNet-Model-Server.","Automate model archiving in a CI/CD pipeline to prepare models for inference serving.","Bundle a model with a custom inference handler to define preprocessing and postprocessing logic.","Create reproducible model archives for sharing trained models across teams or environments."],"what_it_does":"Model Archiver is a command-line tool that packages trained neural network models into `.mar` archive files suitable for inference with MXNet-Model-Server. It accepts a model file, a handler script, and metadata, then bundles them into a standardized archive format that MMS can consume and serve. The tool is lightweight, depending only on future and enum-compat for compatibility.\n\nThe package is part of the broader MXNet-Model-Server (MMS) ecosystem but can be installed standalone. It was designed to streamline the workflow of taking a trained model from development into a serving-ready format. However, the project is now archived with no active maintenance since mid-2024, and the latest release is from 2019, making it a legacy tool that may not align with current deep-learning deployment practices or MXNet versions.","worth_installing":"No. Although install friction is low and the license is permissive, the project is abandoned (archived repository, no releases since 2019, last commit 2024-05-20). MXNet-Model-Server itself is no longer actively maintained, and this tool is unlikely to work reliably with modern Python versions or current model-serving frameworks. Consider modern alternatives like TorchServe, TensorFlow Serving, or other actively maintained model-packaging tools."},"id":"model-archiver","links":{"html":"https://skillfed.io/packages/model-archiver","md":"https://skillfed.io/packages/model-archiver.md","pypi":"https://pypi.org/project/model-archiver/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2019-05-16","license_spdx":null,"license_treatment":"permissive","name":"model-archiver","python_support":"unspecified","summary":"Model Archiver is used for creating archives of trained neural net models that can be consumed by MXNet-Model-Server inference"},"popularity":{"monthly_downloads":390301,"position":7023,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.3"}