Update README.md

README.md

@@ -56,12 +56,12 @@ It was tested on IronITA test set obtaining the following results:
 - Transformers 4.30.2
 - Pytorch 2.1.2
 - Datasets 2.19.0
-- Accelerate=0.30.0
+- Accelerate 0.30.0
 
 # How to use this model:
 ```
 model = AutoModelForSequenceClassification.from_pretrained('aequa-tech/irony',num_labels=2) 
 tokenizer = AutoTokenizer.from_pretrained("m-polignano-uniba/bert_uncased_L-12_H-768_A-12_italian_alb3rt0") 
 classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
-classifier("")
+classifier("Prendi una gioia. Ora posala, che non è tua.")
 ```