通过对自定义数据集进行细调获得的模型！

LABEL_0 - 不是行动决策

LABEL_1 - 行动决策

使用方法

示例 1

from transformers import pipeline
summarizer = pipeline("text-classification", model="knkarthick/Action_Decisions")
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)

示例 2

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