Update README.md

README.md

@@ -174,13 +174,15 @@ model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
 
 # Example: Translate Akkadian cuneiform to English
 prompt = "Translate Akkadian cuneiform to English: "
-input_text = "𒄨 𒃼 𒁺 𒊭 𒀸 𒌅 𒆰 𒋾 𒀸 𒋩 𒂗 𒋙 𒆰 𒆳 𒆷 𒈠 𒄀 𒊑 𒋗 𒁶 𒋻 𒁁 𒋾 𒌑 𒁖 𒆥 𒄣 𒀀 𒁍 𒄫 𒄑 𒁍 𒉡 𒈠 𒍣 𒆥 𒆧 𒅎 𒉡 𒌋 "
+input_text = "𒅆 𒁹 𒀭 𒉺 𒉽 𒀀 𒁹 𒄿 𒌋 𒐊 𒀴 𒃻 𒀀 𒌋 𒌋 𒀀 𒌋 𒌋"
 
 inputs = tokenizer(prompt + input_text, return_tensors="pt")
 outputs = model.generate(**inputs, max_length=64)
 
 prediction = tokenizer.decode(outputs[0], skip_special_tokens=True)
 print("Prediction:", prediction)
+> "witness  Nabu-naṣir  son  Na  di-Issar  servant  of  son  king"
+
 ```