Update README.md

README.md

@@ -27,7 +27,10 @@ tokenizer = AutoTokenizer.from_pretrained('Deepchecks/parrot_fluency_model_onnx'
 model = ORTModelForSequenceClassification.from_pretrained('Deepchecks/parrot_fluency_model_onnx')
 
 # prepare the pipeline and generate inferences
-pip = pipeline(task='text-classification', model=onnx_model, tokenizer=tokenizer, device=device, accelerator="ort")
+user_inputs = ['Natural language processing is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence.',
+               'Pass on what you have learned. Strength, mastery, hmm… but weakness, folly, failure, also. Yes, failure, most of all. The greatest teacher, failure is.',
+               'Whispering dreams, forgotten desires, chaotic thoughts, dance with words, meaning elusive, swirling amidst.']
+pip = pipeline(task='text-classification', model=model, tokenizer=tokenizer, device=device, accelerator="ort")
 res = pip(user_inputs, batch_size=64, truncation="only_first")
 
 ```