Update README.md

README.md

@@ -21,6 +21,8 @@ datasets: gbharti/finance-alpaca
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.  
 A fine-tuned `unsloth/llama-3-8b-bnb-4bit` model on [gbharti/finance-alpaca](https://huggingface.co/datasets/gbharti/finance-alpaca) dataset. 
 
+---
+
 # Model Usage
 
 Use the **unsloth** library to download and use the model. 
@@ -72,8 +74,8 @@ model = AutoPeftModelForCausalLM.from_pretrained(
     "dmedhi/llama-3-personal-finance-8b-bnb-4bit",
     load_in_4bit = load_in_4bit,
 )
-tokenizer = AutoTokenizer.from_pretrained("lora_model")
+tokenizer = AutoTokenizer.from_pretrained("dmedhi/llama-3-personal-finance-8b-bnb-4bit")
 ```
 
-For complete code and example, please refer to this [notebook](https://github.com/d1pankarmedhi/fine-tuning-llm/blob/main/llama3-personal-finance-FT.ipynb) which includes
+**Note**: For complete code and example, please refer to this [notebook](https://github.com/d1pankarmedhi/fine-tuning-llm/blob/main/llama3-personal-finance-FT.ipynb) which includes
 dataset preparation, training code and model inference example.