Privacy Policy Relation Extraction

🚀 隱私政策關係抽取模型

本項目是一個用於隱私政策關係抽取的模型，能夠對文本進行分類，幫助識別隱私政策中的關鍵信息，在隱私數據處理等場景有重要價值。

🚀 快速開始

你可以使用以下代碼快速體驗本模型的功能：

from transformers import pipeline

pipe = pipeline("text-classification", model="PaDaS-Lab/privacy-policy-relation-extraction", return_all_scores=True)

example = "We store your basic account information, including your name, username, and email address until you ask us to delete them."
results = pipe(example)

threshold = 0.5
print([result for result in results[0] if result['score'] >= threshold])

💻 使用示例

基礎用法

from transformers import pipeline

pipe = pipeline("text-classification", model="PaDaS-Lab/privacy-policy-relation-extraction", return_all_scores=True)

example = "We store your basic account information, including your name, username, and email address until you ask us to delete them."
results = pipe(example)

threshold = 0.5
print([result for result in results[0] if result['score'] >= threshold])

📚 詳細文檔

性能表現

模型的性能表現如下所示：

📄 許可證

本項目採用 MIT 許可證。