Update README.md

README.md

@@ -67,13 +67,10 @@ This emotion classifier has been trained on 89_754 examples split into train, va
 
 Usage:
 ```python
-from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
-
-tokenizer = AutoTokenizer.from_pretrained('AdamCodd/distilbert-base-uncased-finetuned-emotion-balanced')
-model = AutoModelForSequenceClassification.from_pretrained('AdamCodd/distilbert-base-uncased-finetuned-emotion-balanced')
+from transformers import pipeline
 
 # Create the pipeline
-emotion_classifier = pipeline('text-classification', model=model, tokenizer=tokenizer)
+emotion_classifier = pipeline('text-classification', model='AdamCodd/distilbert-base-uncased-finetuned-emotion-balanced')
 
 # Now you can use the pipeline to classify emotions
 result = emotion_classifier("We are delighted that you will be coming to visit us. It will be so nice to have you here.")