Update README.md

README.md

@@ -50,6 +50,10 @@ tokens = tokenizer(text)
 text_embedding = model.encode_text(tokens)
 print("Individual text embedding size:",text_embedding.shape)
 
+# sequential encoding
+seq_text_embedding = model.text.transformer(tokens, output_hidden_states=True).hidden_states[-1]
+print("Sequential text embedding size:", seq_text_embedding.shape)
+
 ```
 
 ## Acknowledgement