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Model extensions

Converting a model into MLEM model enables all kind of productionization scenarios as we have seen in Get Started.

Model extensions add support for new ML frameworks that MLEM can recognize when you call save API method or pass a ML model to mlem.api methods. Although MLEM can save a model from unknown ML framework using pickle, a special extension for that framework will allow to save the model in framework-specific format and support special features of that framework.

Typicaly model extensions will implement ModelType and ModelIO interfaces.

Some also implement DataType interface if specific data objects are needed for model to work.

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