NVIDIA
NVIDIA
NeMo Retriever Table Structure v1
Container
NVIDIA
NVIDIA
NeMo Retriever Table Structure v1

NVIDIA NeMo™ Retriever NIM for table structure v1 is a fine-tuned object detection model, trained specifically for detecting the structure of complex tables.

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Object Detection NIM

NVIDIA NeMo™ Retriever NIM for Object Detection is a fine-tuned object detection model, trained specifically for detecting charts and tables in documents.

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Container page for release documentation, deployment guides and more.

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For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

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Governing Terms

The NIM container is governed by NVIDIA Agreements | Enterprise Software | NVIDIA Software License Agreement and NVIDIA Agreements | Enterprise Software | Product Specific Terms for AI Product; and the use of this model is governed by the ai-foundation-models-community-license.pdf.

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Publisher
NVIDIA
NVIDIA
Latest Tag1.6.0
UpdatedOctober 22, 2025 UTC
Compressed Size6.11 GB
Multinode SupportNo
Multi-Arch SupportYes