Update README.md

README.md

@@ -32,6 +32,21 @@ The dataset categorizes sentence pairs into two distinct classes based on their
 
 This model is shared open source and is intended for wide usage across different applications where understanding sentence similarity in Azerbaijani is crucial. It can be especially useful for developers and researchers working on Azerbaijani language processing tasks. For those interested in utilizing the Azerbaijani Sentence Similarity model developed by Alas Development Center, built on the bert-base-multilingual-cased architecture, we have prepared a comprehensive Jupyter notebook. This [notebook](https://github.com/Alas-Development-Center/az-sentence-similarity/blob/main/az-sentence-similarity.ipynb) includes instructions on loading the model, preprocessing input data and making prediction.
 
+
+To showcase the Azerbaijani Sentence Similarity model's capabilities, here's an example that illustrates how to use the model to determine the similarity between two sentences in Azerbaijani. 
+
+```python
+sentence1 = "Həmişə sənə inanmışam"
+sentence2 = 'Mən əmin idim ki, sən bunu bacaracaqsan'
+
+check_similarity(sentence1, sentence2)
+
+```
+``` python
+('entailment', ' 0.86%')
+
+```
+
 # Acknowledgements
 
 We express our gratitude to our team who participated in the development, training, and evaluation phases of this model. Their dedication and hard work have been instrumental in advancing Azerbaijani language processing technologies.