Update README.md

README.md

@@ -53,7 +53,7 @@ widget:
 
 ## Model description
 
-RoBERTa-ca-v2 is a transformer-based masked language model for the Catalan language. 
+The **roberta-base-ca-v2** is a transformer-based masked language model for the Catalan language. 
 It is based on the [RoBERTA](https://github.com/pytorch/fairseq/tree/master/examples/roberta) base model 
 and has been trained on a medium-size corpus collected from publicly available corpora and crawlers.
 
@@ -74,10 +74,11 @@ tokenizer_hf = AutoTokenizer.from_pretrained('projecte-aina/roberta-base-ca-v2')
 model = AutoModelForMaskedLM.from_pretrained('projecte-aina/roberta-base-ca-v2')
 model.eval()
 pipeline = FillMaskPipeline(model, tokenizer_hf)
-text = f"Em dic <mask>."137,775
+text = f"Em dic <mask>."
 res_hf = pipeline(text)
 pprint([r['token_str'] for r in res_hf])
 ```
+
 ## Training
 
 ### Training data