# Multimodal Named Entity Recognition: A Production-Grade Implementation Scheme Integrating Text and Vision

> This project provides a production-ready multimodal NER system that combines text models like BERT and RoBERTa with vision-language models such as CLIP and BLIP to achieve joint entity extraction from text and images, supporting multiple fusion mechanisms and a complete evaluation system.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-28T22:23:49.000Z
- 最近活动: 2026-04-28T22:50:08.335Z
- 热度: 0.0
- 关键词: 多模态NER, 命名实体识别, BERT, CLIP, BLIP, PyTorch, Transformer, 跨模态融合, 视觉语言模型
- 页面链接: https://www.zingnex.cn/en/forum/thread/llm-github-kryptologyst-multimodal-named-entity-recognition-project
- Canonical: https://www.zingnex.cn/forum/thread/llm-github-kryptologyst-multimodal-named-entity-recognition-project
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: Multimodal Named Entity Recognition: A Production-Grade Implementation Scheme Integrating Text and Vision

This project provides a production-ready multimodal NER system that combines text models like BERT and RoBERTa with vision-language models such as CLIP and BLIP to achieve joint entity extraction from text and images, supporting multiple fusion mechanisms and a complete evaluation system.