NeMo Retriever Table Structure v1
最新标签
文件大小
0.00 GB
多节点支持
多架构支持
最新版本安全扫描结果
Nspect-7obp-t77c Nvidia Ai Enterprise Supported Nvidia Nim

NeMo Retriever Table Structure v1
容器镜像
校验资质

更新1970-01-01

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

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.

Get Help

NVIDIA AI Enterprise Documentation

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

Enterprise Support

Get access to knowledge base articles and support cases or submit a ticket.

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.