Action Items

🚀 动作项分类模型

本项目基于DistilBERT模型，使用自定义数据集进行微调，用于文本分类任务，能够准确识别文本是否为动作项。

🚀 快速开始

本模型通过使用自定义数据集对 'distilbert' 进行微调获得！

• LABEL_0 - 非动作项
• LABEL_1 - 动作项

💻 使用示例

基础用法

from transformers import pipeline
summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
text = '''
Customer portion will have the dependency of , you know , fifty five probably has to be on XGEVA before we can start that track , but we can at least start the enablement track for sales and CSM who are as important as customers because they're the top of our funnel , especially sales.
'''
summarizer(text)

高级用法

以下是更多不同文本的分类示例：

# 示例 2
from transformers import pipeline
summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
text = '''
India, officially the Republic of India, is a country in South Asia.
'''
summarizer(text)

# 示例 3
from transformers import pipeline
summarizer = pipeline("text-classification", model="knkarthick/Action_Items")
text = '''
We have been running the business successfully for over a decade now.
'''
summarizer(text)

📄 许可证

本项目采用 Apache-2.0 许可证。

📦 模型信息