NVIDIA Structured Data Models enable zero-training tabular predictions
Original titleHow to Make Zero-Training Tabular Predictions with NVIDIA Structured Data Models
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Summary
NVIDIA released a library that wraps pretrained foundation models for tabular data—TabICLv2 and KumoTabular for single tables and KumoRelational for relational databases—behind a unified PyTorch interface. Models answer through in-context learning without additional training.
Original excerpt
In this tutorial, we implement Structured Data Models, NVIDIA’s new library that puts several pretrained foundation models for tables behind one PyTorch interface, and use it to make predictions without training. The library wraps TabICLv2 and KumoTabular for single tables and KumoRelational for whole relational databases, and each of them answers by in-context learning: we […] The post How to Make Zero-Training Tabular Predictions with NVIDIA Structured Data Models appeared first on MarkTechPost.