Model obtained by Fine Tuning 'distilbert' using Custom Dataset!
LABEL_0 - Not an Action Decision
LABEL_1 - Action Decision
Usage
Example 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)
Example 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)
Example 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)
- Downloads last month
- 9
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Evaluation results
- Validation Accuracy on Customself-reportednull
- Validation Precision on Customself-reportednull
- Validation Recall on Customself-reportednull
- Test Accuracy on Customself-reportednull
- Test Precision on Customself-reportednull
- Test Recall on Customself-reportednull