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Update README.md

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@@ -57,7 +57,7 @@ def load_model():
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  global model, tokenizer, device
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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- path = './llama-3.2-3B-sentiment_241105'
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  tokenizer = AutoTokenizer.from_pretrained(path)
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  model = AutoPeftModelForCausalLM.from_pretrained(
 
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  global model, tokenizer, device
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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+ path = './llama-3.2-3B-sentiment-kr-LoRA'
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  tokenizer = AutoTokenizer.from_pretrained(path)
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  model = AutoPeftModelForCausalLM.from_pretrained(