Added use example

README.md

@@ -42,4 +42,26 @@ Comparison with `xlm-roberta-base`:
 | --- | --- | --- |
 |Wilcoxon|0.00781|0.00781|
 |Mann Whithney|0.00107|0.00108|
-|Student t-test |4.83e-11 | 5.61e-11 |
+|Student t-test |4.83e-11 | 5.61e-11 |
+
+## Use examples
+
+```python
+from simpletransformers.classification import ClassificationModel
+model_args = {
+        "num_train_epochs": 12,
+        "learning_rate": 1e-5,
+        "train_batch_size": 74}
+
+model = ClassificationModel(
+    "bert", "5roop/bcms-bertic-frenk-hate", use_cuda=True,
+    args=model_args
+    
+)
+
+predictions, logit_output = model.predict(['Ne odbacujem da će RH primiti još migranata iz Afganistana, no neće biti novog vala',
+                                           "Potpredsjednik Vlade i ministar branitelja Tomo Medved komentirao je Vladine planove za zakonsku zabranu pozdrava 'za dom spremni' "])
+predictions
+### Output:
+### array([0, 0])
+```