Update README.md

README.md

@@ -49,6 +49,21 @@ Now, the models covers 15 languages from various language families:
 | Japanese  | ja   | 0.8773  |
 | Tatar     | tt   | 0.5744  |
 
+## How to use
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained('textdetox/xlmr-large-toxicity-classifier-v2')
+model = AutoModelForSequenceClassification.from_pretrained('textdetox/xlmr-large-toxicity-classifier-v2')
+
+batch = tokenizer.encode("You are amazing!", return_tensors="pt")
+
+output = model(batch)
+# idx 0 for neutral, idx 1 for toxic
+```
+
 ## Citation
 The model is prepared for [TextDetox 2025 Shared Task](https://pan.webis.de/clef25/pan25-web/text-detoxification.html) evaluation.