Action Items

🚀 動作項分類模型

本項目基於DistilBERT模型，使用自定義數據集進行微調，用於文本分類任務，能夠準確識別文本是否為動作項。

🚀 快速開始

本模型通過使用自定義數據集對 'distilbert' 進行微調獲得！

• LABEL_0 - 非動作項
• LABEL_1 - 動作項

💻 使用示例

基礎用法

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)

高級用法

以下是更多不同文本的分類示例：

# 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)

📄 許可證

本項目採用 Apache-2.0 許可證。

📦 模型信息