Update README.md

README.md

@@ -18,4 +18,14 @@ To generate text using the model:
     
     tokenizer = MBart50TokenizerFast.from_pretrained("MRNH/finetuned-mbart-it-gec", src_lang="it_IT", tgt_lang="it_IT")
     input = tokenizer("I was here yesterday to studying",text_target="I was here yesterday to study", return_tensors='pt')
-    output =    hidden_states = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["it_IT"])
+    output =    hidden_states = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["it_IT"])
+
+
+Please cite me if you use it and enjoy ;-):
+
+@mastersthesis{citekey,
+  author  = "Matteo Romano",
+  title   = "Analysis of Multilingual Grammatical Error Correction with data paucity",
+  school  = "Sapienza University of Rome",
+  year    = "2023"
+}