A simple code block that shows the usage of the model was added.

README.md

@@ -13,6 +13,21 @@ We introduce BERTurk-Legal which is a transformer-based language model to retrie
 
 Test dataset can be accessed from the following link: https://github.com/koc-lab/yargitay_retrieval_dataset
 
+The model can be loaded and used to create document embeddings as follows. Then, the document embeddings can be utilized for retrieval.
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+bert_model = "KocLab-Bilkent/BERTurk-Legal"
+
+model = AutoModelForSequenceClassification.from_pretrained(bert_model, output_hidden_states=True)
+tokenizer = AutoTokenizer.from_pretrained(bert_model)
+
+tokens = tokenizer("Örnek metin") # a dummy text is provided as input
+
+output = model(tokens) 
+docEmbeddings = output.hidden_states[-1]
+```
+
 ## Citation
 If you use the model, please cite the following conference paper.
 ```