Update README.md

README.md

@@ -6,7 +6,7 @@ widget:
 - text: Gli sviluppi delle prestazioni rivalutate e del valore di [MASK] sono di seguito riportati
 ---
 
-
+<h1> BureauBERTo; adapting UmBERTo to the Italian bureaucratic language</h1>
 <img  src="https://huggingface.co/colinglab/BureauBERTo/resolve/main/bureauberto.jpg?raw=true" width="600"/> 
 
 
@@ -24,9 +24,9 @@ The further pre-training is applied with a MLM objective (randomly masking 15\%
 ## BureauBERTo model can be loaded like:
 
 ```python
-from transformers import AutoModel, CamembertTokenizerFast
+from transformers import AutoModel, AutoTokenizer
 model_name = "colinglab/BureauBERTo"
-tokenizer = CamembertTokenizerFast.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModel.from_pretrained(model_name)
 ```
 
@@ -40,7 +40,7 @@ series = {{CEUR} {Workshop} {Proceedings}},
 title = {{BureauBERTo}: adapting {UmBERTo} to the {Italian} bureaucratic language},
 shorttitle = {{BureauBERTo}},
 language = {en},
-booktitle = {Ital-IA Convegno Nazionale CINI sull'Intelligenza Artificiale-Workshop on AI for Cybersecurity},
+booktitle = {In Atti del convegno Ital-IA 2023, Workshop AI per la Pubblica Amministrazione},
 publisher = {CEUR},
 author = {Auriemma, Serena and Madeddu, Mauro and Miliani, Martina and Bondielli, Alessandro and Passaro, Lucia C and Lenci, Alessandro},
 month = sep,