Update README.md

README.md

@@ -25,7 +25,28 @@ The dataset comprises ~5M data points from three Latin American protest events:
 
 ## Example of Classification
 
-WIP
+```python
+## Pipeline as a high-level helper
+from transformers import pipeline
+toxic_classifier = pipeline("text-classification", model="bgonzalezbustamante/ft-xlm-roberta-toxicity")
+
+## Non-toxic example
+non_toxic = toxic_classifier("Que tengas un excelente día :)")
+
+## Toxic example
+toxic = toxic_classifier("Eres un maldito infeliz")
+
+## Print examples
+print(non_toxic)
+print(toxic)
+```
+
+Output:
+
+```
+[{'label': 'NONTOXIC', 'score': 0.5529471635818481}]
+[{'label': 'TOXIC', 'score': 0.6219274401664734}]
+```
 
 ## Validation Metrics