File-based machine learning models are managed as opaque containers with no specific knowledge of the internal format. This approach offers universal flexibility, but requires that you determine and manage the exact dependencies and code required to successfully load and execute the model.
Artifactory ML repositories support the file types .cbm, .pretrained_model, .onnx, .pkl, .pth, and .joblib.
The following topics provide information about working with file-based models in Artifactory:
Artifactory also supports several format-aware model types. For more information, see Format-Aware Models.