Gliner Multi

🚀 GLiNER-multi模型卡片

GLiNER是一个命名实体识别（NER）模型，它能够使用双向Transformer编码器（类似BERT）识别任何实体类型。它为传统的NER模型提供了一个实用的替代方案，传统NER模型局限于预定义的实体，而大语言模型（LLMs）虽然灵活，但在资源受限的场景中成本高且体积大。

此版本在Pile-NER数据集上进行了训练（仅用于研究目的）。有商业许可版本可供使用（urchade/gliner_smallv2、urchade/gliner_mediumv2、urchade/gliner_largev2）。

🚀 快速开始

GLiNER是一个强大的命名实体识别模型，能识别多种实体类型。下面将介绍如何安装和使用该模型。

✨ 主要特性

• 能够使用双向Transformer编码器识别任何实体类型。
• 为传统NER模型和大语言模型在资源受限场景下提供了实用替代方案。
• 有多个版本可供选择，包括不同参数规模和语言支持。

📦 安装指南

要使用此模型，你必须安装GLiNER Python库：

!pip install gliner

💻 使用示例

基础用法

from gliner import GLiNER

model = GLiNER.from_pretrained("urchade/gliner_multi")

text = """
Cristiano Ronaldo dos Santos Aveiro (Portuguese pronunciation: [kɾiʃˈtjɐnu ʁɔˈnaldu]; born 5 February 1985) is a Portuguese professional footballer who plays as a forward for and captains both Saudi Pro League club Al Nassr and the Portugal national team. Widely regarded as one of the greatest players of all time, Ronaldo has won five Ballon d'Or awards,[note 3] a record three UEFA Men's Player of the Year Awards, and four European Golden Shoes, the most by a European player. He has won 33 trophies in his career, including seven league titles, five UEFA Champions Leagues, the UEFA European Championship and the UEFA Nations League. Ronaldo holds the records for most appearances (183), goals (140) and assists (42) in the Champions League, goals in the European Championship (14), international goals (128) and international appearances (205). He is one of the few players to have made over 1,200 professional career appearances, the most by an outfield player, and has scored over 850 official senior career goals for club and country, making him the top goalscorer of all time.
"""

labels = ["person", "award", "date", "competitions", "teams"]

entities = model.predict_entities(text, labels)

for entity in entities:
    print(entity["text"], "=>", entity["label"])

Cristiano Ronaldo dos Santos Aveiro => person
5 February 1985 => date
Saudi Pro League => competitions
Al Nassr => teams
Portugal national team => teams
Ballon d'Or => award
UEFA Men's Player of the Year Awards => award
European Golden Shoes => award
UEFA Champions Leagues => competitions
UEFA European Championship => competitions
UEFA Nations League => competitions
Champions League => competitions
European Championship => competitions

高级用法

from gliner import GLiNER

model = GLiNER.from_pretrained("urchade/gliner_multi")

text = """
Это старый-добрый Римантадин, только в сиропе.
"""
# Gold: Римантадин - Drugname, сиропе - Drugform

labels = ["Drugname", "Drugform"]

entities = model.predict_entities(text, labels)

for entity in entities:
    print(entity["text"], "=>", entity["label"])

Римантадин => Drugname
сиропе => Drugform

📚 详细文档

链接

• 论文：https://arxiv.org/abs/2311.08526
• 仓库：https://github.com/urchade/GLiNER

可用模型

命名实体识别基准测试结果

模型作者

模型作者包括：

• Urchade Zaratiana
• Nadi Tomeh
• Pierre Holat
• Thierry Charnois

引用

@misc{zaratiana2023gliner,
      title={GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer}, 
      author={Urchade Zaratiana and Nadi Tomeh and Pierre Holat and Thierry Charnois},
      year={2023},
      eprint={2311.08526},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

📄 许可证

本模型使用cc-by-nc-4.0许可证。