Update README.md

README.md

@@ -23,5 +23,13 @@ input_text = ""
 input_ids = tokenizer.encode(input_text, return_tensors='pt')
 output = model.generate(input_ids, max_length=100)
 print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
 
 ### Limitations and bias
+We have yet to thoroughly investigate the potential bias inherent in this model. Regarding transparency, it's important to note that the model is primarily trained on data from the Unicode Burmese(Myanmar) language.
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