Update README.md

README.md

@@ -37,6 +37,7 @@ lora_config = LoraConfig(
     target_modules=["c_attn", "q_proj", "v_proj"]
 )
 ```
+
 # Training Arguments
 ```python
 training_args = TrainingArguments(
@@ -55,7 +56,6 @@ training_args = TrainingArguments(
 ```
 
 # Training Progress
-
 | Step | Training Loss | Validation Loss |
 |------|---------------|-----------------|
 | 300  | 1.595000      | 1.611501        |
@@ -70,7 +70,6 @@ training_args = TrainingArguments(
 
 
 # 실행 코드
-
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
 import torch
@@ -84,7 +83,7 @@ bnb_config = BitsAndBytesConfig(
 )
 
 # Load tokenizer and model (local or hub path)
-model_path = "your-username/your-model-name"  # or local path like "./saved_model(0412)"
+model_path = "onebeans/Qwen2.5-Coder-KoInstruct-QLoRA"
 tokenizer = AutoTokenizer.from_pretrained(model_path)
 model = AutoModelForCausalLM.from_pretrained(
     model_path,