Create README.md

README.md

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+---
+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
+