{"library":"model-archiver","type":"library","category":null,"description":"Model Archiver is a Python library and command-line tool used for creating archives of trained neural network models. These archives, typically with a .mar extension, are specifically structured to be consumed by the MXNet-Model-Server for efficient inference. The PyPI package (version 1.0.3) serves as a standalone tool, although its core functionality has largely evolved into 'torch-model-archiver' for the 'TorchServe' (formerly 'Multi-Model-Server') ecosystem.","language":"python","status":"maintenance","version":"1.0.3","tags":["machine learning","model deployment","MXNet","AWS","archive","model serving"],"install":[{"cmd":"pip install model-archiver","imports":["from model_archiver import ModelArchiver"]}],"homepage":"https://pytorch.org/serve/","github":"https://github.com/awslabs/mxnet-model-server","docs":null,"changelog":null,"pypi":"https://pypi.org/project/model-archiver/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.9,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/model-archiver/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}