Model obtained by Fine Tuning 'distilbert' using Custom Dataset!

LABEL_0 - Not an Action Item

LABEL_1 - Action Item

Usage

Example 1

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)

Example 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)

Example 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)