Gliner Multi

🚀 GLiNER-multi模型卡片

GLiNER是一個命名實體識別（NER）模型，它能夠使用雙向Transformer編碼器（類似BERT）識別任何實體類型。它為傳統的NER模型提供了一個實用的替代方案，傳統NER模型侷限於預定義的實體，而大語言模型（LLMs）雖然靈活，但在資源受限的場景中成本高且體積大。

此版本在Pile-NER數據集上進行了訓練（僅用於研究目的）。有商業許可版本可供使用（urchade/gliner_smallv2、urchade/gliner_mediumv2、urchade/gliner_largev2）。

🚀 快速開始

GLiNER是一個強大的命名實體識別模型，能識別多種實體類型。下面將介紹如何安裝和使用該模型。

✨ 主要特性

• 能夠使用雙向Transformer編碼器識別任何實體類型。
• 為傳統NER模型和大語言模型在資源受限場景下提供了實用替代方案。
• 有多個版本可供選擇，包括不同參數規模和語言支持。

📦 安裝指南

要使用此模型，你必須安裝GLiNER Python庫：

!pip install gliner

💻 使用示例

基礎用法

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

高級用法

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

📚 詳細文檔

鏈接

• 論文：https://arxiv.org/abs/2311.08526
• 倉庫：https://github.com/urchade/GLiNER

可用模型

命名實體識別基準測試結果

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}
}

📄 許可證

本模型使用cc-by-nc-4.0許可證。