Update README.md

README.md

@@ -91,6 +91,26 @@ These substitutions represent phonetic similarities and common mistakes made by
 
 To use the model for spell correction:
 
+```python
+import torch
+from transformers import MT5ForConditionalGeneration, MT5Tokenizer
+
+# Load the tokenizer and model
+tokenizer = MT5Tokenizer.from_pretrained('LocalDoc/azerbaijani_spell_corrector')
+model = MT5ForConditionalGeneration.from_pretrained('LocalDoc/azerbaijani_spell_corrector')
+
+# Function to correct sentences
+def correct_sentence(sentence):
+    input_text = "correct: " + sentence
+    input_ids = tokenizer.encode(input_text, return_tensors='pt', max_length=128, truncation=True)
+    outputs = model.generate(input_ids=input_ids, max_length=128, num_beams=5, early_stopping=True)
+    corrected_sentence = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return corrected_sentence
+
+# Example usage
+incorrect_sentence = "Pul dogru adamlarda deyil"
+print(correct_sentence(incorrect_sentence))
+```
 
 ## License