Update README.md

README.md

@@ -45,9 +45,11 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 pipe = pipeline("text-classification", model=model, tokenizer=tokenizer, function_to_apply="sigmoid")
 
 
-pipe(example, padding=True, truncation=True)
+pipe(example, padding=True, truncation=True, return_all_scores=True)
 
->>> [{'label': 'NZT', 'score': 0.9142044186592102}]
+>>> [[{'label': 'NZT', 'score': 0.9142044186592102},
+  {'label': 'Reduction', 'score': 0.04552844911813736},
+  {'label': 'Other', 'score': 0.07590094953775406}]]
 ```