Update README.md

README.md

@@ -26,12 +26,12 @@ import nltk
 
 ner_classifier = pipeline(
     "ner",
-    model="arubenruben/{REPLACE WITH ONE OF THE PIPELINES}",
+    model="arubenruben/NER-PT-BERT-CRF-Conll2003",
     device=torch.device("cuda:0") if torch.cuda.is_available() else torch.device("cpu"),
     trust_remote_code=True
 )
 
-text = "{INSERT TEXT TO BE CLASSIFIED HERE}"
+text = "FCPorto vence o Benfica por 5-0 no Estádio do Dragão"
 tokens = nltk.wordpunct_tokenize(text)
 result = ner_classifier(tokens)
 ```