Add use example to model card.

README.md

@@ -40,6 +40,27 @@ The same pipeline was run with two other transformer models and `fasttext` for c
 Two best performing models have been compared with the Mann-Whitney U test to calculate p-values (** denotes p<0.01).
 
 
+## Use example with `simpletransformers==0.63.7`
+
+```python
+from simpletransformers.classification import ClassificationModel
+
+model = ClassificationModel("electra", "classla/bcms-bertic-parlasent-bcs-ter")
+
+predictions, logits = model.predict([
+     "Đački autobusi moraju da voze svaki dan", 
+     "Vi niste normalni",
+     "Da bog da ti saksida padne na glavu",
+     ]
+    )
+
+predictions
+# Output: array([1, 0, 0])
+
+[model.config.id2label[i] for i in predictions]
+# Output: ['Other', 'Negative', 'Negative']
+```
+
 ## Citation
 
 If you use the model, please cite the following paper on which the original model is based: