Update README.md

README.md

@@ -96,6 +96,12 @@ The model was pre-trained continuously on a single A10G GPU in an AWS instance f
 <br>Thus, hurts the performance of the Abstractive Summarization task.
 <br>This case is not present in the decoder-only model as all the predicted next token is not seen by the model at all.
 
+Note:
+
+Could be used as an encoder-only model but advised not to use it.
+<br>Because there are already bert-based models with better inference time. (due to longer sequence length)
+<br>This could be used in case a longer sequence length is required.
+
 #### Authors:
 
 <a href="https://www.linkedin.com/in/bijaya-bhatta-69536018a/">Vijaya Bhatta</a>