{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Model: nvidia/Kumo-Tabular","description":"NVIDIA model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/96a962c3-8cab-4b18-bee2-86c6a669c5ee","json_url":"https://onlylabs.fyi/signals/96a962c3-8cab-4b18-bee2-86c6a669c5ee/signal.json","generated_at":"2026-10-25T01:43:47.750Z","evidence_latest_fetched_at":"2026-09-29T07:20:23.432358+00:00","signal_first_seen_at":"2026-09-29T07:20:08.32738+00:00","org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/nvidia","dossier_json_url":"https://onlylabs.fyi/labs/nvidia/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/96a962c3-8cab-4b18-bee2-86c6a669c5ee","signal_json":"https://onlylabs.fyi/signals/96a962c3-8cab-4b18-bee2-86c6a669c5ee/signal.json","source":"https://huggingface.co/nvidia/Kumo-Tabular","lab_dossier":"https://onlylabs.fyi/labs/nvidia","lab_dossier_json":"https://onlylabs.fyi/labs/nvidia/dossier.json","analysis":"https://onlylabs.fyi/analysis/nvidia","analysis_json":"https://onlylabs.fyi/analysis/nvidia/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/nvidia/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"NVIDIA published nvidia/Kumo-Tabular. 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Getting Started Install [`structured-data-models`](https://github.com/NVIDIA/structured-data-models) for inference: ```bash pip install structured-data-models ``` Use labeled examples as context to predict class probabilities for new data: ```python from sklearn.datasets import load_breast_cancer import sdm df = load_breast_cancer(as_frame=True).frame table = sdm.TableTensor.from_pandas( df=df, stypes=sdm.infer_stypes(df, overrides={\"target\": \"categorical\"}), device=\"cuda\", ) model = sdm.models.KumoTabular(task=\"classification\", device=\"cuda\") probs = model( x_context=table[:300].drop_columns(\"target\"), y_context=table[:300, \"target\"], x_query=table[300:].drop_columns(\"target\"), num_estimators=8, ) print(probs) ``` To learn more, visit [structured-data-models](https://github.com/NVIDIA/structured-data-models). 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