Nucleus allows uploading user-made models for inference runs, including ones trained with popular ML libraries such as PyTorch and Tensorflow. This guide outlines how to upload a new model through the Nucleus client library and run it on any dataset or slice in the UI.
The representation of model code in Nucleus is called a model bundle. Currently, a bundle can only be attached to a Nucleus model on the model’s creation, so bundles can’t be added to existing Nucleus models.
Updated about 1 year ago