Update README.md

README.md

@@ -36,13 +36,13 @@ from transformers import AutoTokenizer, TextClassificationPipeline, TFBertForSeq
 
 tokenizer = AutoTokenizer.from_pretrained("nanelimon/bert-base-turkish-bullying")
 model = TFBertForSequenceClassification.from_pretrained("nanelimon/bert-base-turkish-bullying", from_pt=True)
-pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer)
+pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer, return_all_scores=True, top_k=2)
 
 print(pipe('Bu bir denemedir hadi sende dene!'))
 ```
 Result;
 ```sh
-[{'label': 'Nötr', 'score': 0.999175488948822}]
+[[{'label': 'Nötr', 'score': 0.999175488948822}, {'label': 'Cinsiyetçi Zorbalık', 'score': 0.00042115405085496604}]]
 ```
 - label= It shows which class the sent Turkish text belongs to according to the model.
 - score= It shows the compliance rate of the Turkish text sent to the label found.