Update README.md

README.md

@@ -21,6 +21,18 @@ It achieves the following results on the evaluation set:
 - Validation Accuracy: 0.9983
 - Test F1 Score (macro): 0.9989
 
+## How to use
+
+You can use this model directly with a pipeline for text classification:
+
+```python
+>>> from transformers import pipeline
+>>> classifier = pipeline("text-classification", model="rasyosef/bert_uncased_fake_news")
+>>> classifier(["Wow! Talk about clueless! Austen Fletcher approaches anti-Trump protesters and gets clueless answers on why they re against Trump:Thought you might enjoy this  @PrisonPlanet @allidoisowen @JackPosobiec pic.twitter.com/kdYm2WlfdB  austen fletcher (@fleccas) July 17, 2017"])
+
+[{'label': 'Fake News', 'score': 0.9999557733535767}]
+```
+
 ## Model description
 
 More information needed