比如，未来千问APP做大，那么隔壁蚂蚁旗下的灵光、阿福是不是也可以被整合进来？
Источник агентства подчеркнул, что, по его мнению, украинские военные намеренно открыли огонь по автомобилю, в котором находились их же пленные сограждане, и у него нет в этом сомнений.，详情可参考体育直播
。业内人士推荐下载安装汽水音乐作为进阶阅读
Мощный удар Израиля по Ирану попал на видео09:41
error-histogram.tsx # Error distribution histogram，详情可参考体育直播
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."