usage: model-archiver [-h] --model-name MODEL_NAME --model-path MODEL_PATH --handler HANDLER [--runtime {python,python2,python3}] [--export-path EXPORT_PATH] [--archive-format {tgz,no-archive,default}] [-f] [-c] Model Archiver Tool options: -h, --help show this help message and exit --model-name MODEL_NAME Exported model name. Exported file will be named as model-name.mar and saved in current working directory if no --export-path is specified, else it will be saved under the export path --model-path MODEL_PATH Path to the folder containing model related files. --handler HANDLER Handler path to handle custom MMS inference logic. --runtime {python,python2,python3} The runtime specifies which language to run your inference code on. The default runtime is "python". --export-path EXPORT_PATH Path where the exported .mar file will be saved. This is an optional parameter. If --export-path is not specified, the file will be saved in the current working directory. --archive-format {tgz,no-archive,default} The format in which the model artifacts are archived. "tgz": This creates the model-archive in .tar.gz format. If platform hosting MMS requires model-artifacts to be in ".tar.gz" use this option. "no-archive": This option creates an non-archived version of model artifacts at "export-path/{model-name}" location. As a result of this choice, MANIFEST file will be created at "export-path/{model-name}" location without archiving these model files "default": This creates the model-archive in .mar format. This is the default archiving format. Models archived in this format will be readily hostable on native MMS. -f, --force When the -f or --force flag is specified, an existing .mar file with same name as that provided in --model-name in the path specified by --export-path will overwritten -c, --convert When this option is used, model-archiver looks for special files and tries preprocesses them. For example, if this option is chosen when running model-archiver tool on a model with ".onnx" extension, the tool will try and convert ".onnx" model into an Multi model.