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NeMo Retriever Page Elements v2

NeMo Retriever Page Elements v2

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Associated Products
Features
Description
NVIDIA NeMo™ Retriever NIM for page elements v2 is a fine-tuned object detection model, trained specifically for detecting charts, tables, infographics, and titles on a document page.
Publisher
NVIDIA
Latest Tag
1.3
Modified
May 2, 2025
Compressed Size
5.85 GB
Multinode Support
No
Multi-Arch Support
Yes
1.3 (Latest) Security Scan Results

Linux / arm64

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Linux / amd64

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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.

Security Vulnerabilities in Open Source Packages

Please review the Security Scanning tab on NGC to view the latest security scan results.

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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NVIDIA AI Enterprise Documentation

Visit the NVIDIA Blueprints Documentation Hub for release documentation, deployment guides and more.

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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.

You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.