abstract = "Information extraction (IE) is fundamental to numerous NLP applications, yet existing solutions often require specialized models for different tasks or rely on computationally expensive large language models. We present GLiNER2, a unified framework that enhances the original GLiNER architecture to support named entity recognition, text classification, and hierarchical structured data extraction within a single efficient model. Built on a fine-tuned encoder architecture, GLiNER2 maintains CPU efficiency and compact size while introducing multi-task composition through an intuitive schema-based interface. Our experiments demonstrate competitive performance across diverse IE tasks with substantial improvements in deployment accessibility compared to LLM-based alternatives. We release GLiNER2 as an open-source library available through pip, complete with pre-trained models and comprehensive documentation."
task — 这是 MediaPipe 格式，经过长时间的实战检验。MediaPipe LLM 推理 API 已存在多年，可在 iOS、Android 和 Web 上可靠运行。模型与分词器和元数据一起打包在一个文件中。支持 GPU 加速。这就是 flutter_gemma 目前使用的格式。
Названо число отправившихся на СВО фигурантов уголовных дел15:00，详情可参考快连下载-Letsvpn下载
Enhanced AI performance with Neural Accelerators in the GPU: Users upgrading from M1 models will experience up to 8x faster AI performance.2，推荐阅读下载安装 谷歌浏览器 开启极速安全的 上网之旅。获取更多信息
What's the fighting in DR Congo all about?
Путешествия для россиян стали еще дороже из-за конфликта на Ближнем Востоке20:37，详情可参考搜狗输入法