Update README.md

README.md

@@ -24,7 +24,14 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-for i in range(0,14):
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+WHITESPACE_HANDLER = lambda k: re.sub('\s+', ' ', re.sub('\n+', ' ', k.strip()))
+
+model_name = "GiordanoB/mT5_multilingual_XLSum-sumarizacao-PTBR"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
     input_ids = tokenizer(
         [WHITESPACE_HANDLER(sumariosDuplos[i])],
         return_tensors="pt",