metadata
license: cc-by-4.0
datasets:
- dell-research-harvard/newswire
language:
- en
pipeline_tag: text-classification
tags:
- distilroberta
- topic
- news
widget:
- text: >-
Diplomatic efforts to deal with the world’s two wars — the civil war in
Spain and the undeclared Chinese - Japanese conflict — received sharp
setbacks today.
- text: >-
WASHINGTON. AP. A decisive development appeared in the offing in the
tug-of-war between the federal government and the states over the
financing of relief.
- text: >-
A frantic bride called the Rochester Gas and Electric corporation to
complain that her new refrigerator “freezes ice cubes too fast.”
Fine-tuned DistilRoBERTa-base for detecting news on politics
Model Description
This model is a finetuned RoBERTa-large, for classifying whether news articles are about politics.
How to Use
from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="dell-research-harvard/topic-politics")
classifier("Kennedy wins election")