Added use examples

README.md

@@ -38,4 +38,25 @@ Comparison with `xlm-roberta-base`:
 | --- | --- | --- |
 |Wilcoxon|0.00781|0.00781|
 |Mann Whithney U test|0.00108|0.00108|
-|Student t-test |9.46e-11|6.94e-11|
+|Student t-test |9.46e-11|6.94e-11|
+## Use examples
+
+```python
+from simpletransformers.classification import ClassificationModel
+model_args = {
+        "num_train_epochs": 14,
+        "learning_rate": 1e-5,
+        "train_batch_size": 21,
+        }
+
+model = ClassificationModel(
+    "bert", "5roop/bcms-bertic-frenk-hate", use_cuda=True,
+    args=model_args
+    
+)
+
+predictions, logit_output = model.predict(["Silva, ti si grda in neprijazna.", "Naša hiša ima dimnik."])
+predictions
+### Output:
+### array([1, 0])
+```