Update README.md

README.md

@@ -10,12 +10,12 @@ To initialize the model:
 
     
     from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
-    model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50", output_hidden_states=True)
+    model = MBartForConditionalGeneration.from_pretrained("MRNH/finetuned-mbart-it-gec", output_hidden_states=True)
     
     
 To generate text using the model:
 
     
-    tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50", src_lang="it_IT", tgt_lang="it_IT")
+    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"])