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Update README.md

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@@ -34,7 +34,7 @@ After fine-tuning the entire layers, layers 0, 30, and 31 were replaced with par
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  import torch
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  from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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- model_name = "juungwon/Llama-3-instruction-constructionsafety-layertuning"
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  tuned_model = AutoModelForCausalLM.from_pretrained(
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  model_name,
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  token=access_token,
 
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  import torch
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  from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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+ model_name = "DBCM/Llama-3-instruction-constructionsafety-layertuning"
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  tuned_model = AutoModelForCausalLM.from_pretrained(
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  model_name,
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  token=access_token,