Update README.md

README.md

@@ -27,8 +27,12 @@ You can use this model directly with a pipeline for masked language modeling:
 ```python
 
 >>> from transformers import AutoTokenizer, AutoModelForSequenceClassification
+>>> from transformers import TextClassificationPipeline
 >>> tokenizer = AutoTokenizer.from_pretrained("hassan4830/xlm-roberta-base-finetuned-urdu")
 >>> model = AutoModelForSequenceClassification.from_pretrained("hassan4830/xlm-roberta-base-finetuned-urdu")
+>>> text = "وہ ایک برا شخص ہے"
+>>> pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer, return_all_scores=True, device = 0)
+>>> pipe(text)
 
 [{'sequence': "[CLS] hello i'm a role model. [SEP]",
   'score': 0.05292855575680733,