---
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 

```python
from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="dell-research-harvard/topic-politics")
classifier("Kennedy wins election")
```

# Contact


# Reference