updated readme

README.md

@@ -48,8 +48,8 @@ You can use this fine-tuned model with the Hugging Face `transformers` library.
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 # Load pre-trained model and tokenizer
-tokenizer = AutoTokenizer.from_pretrained("YOUR_HUGGINGFACE_USERNAME/llama-2-7b-chat-finetune")
-model = AutoModelForCausalLM.from_pretrained("YOUR_HUGGINGFACE_USERNAME/llama-2-7b-chat-finetune")
+tokenizer = AutoTokenizer.from_pretrained("https://huggingface.co/devshaheen/llama-2-7b-chat-finetune")
+model = AutoModelForCausalLM.from_pretrained("https://huggingface.co/devshaheen/llama-2-7b-chat-finetune")
 
 # Example text generation
 input_text = "What is the capital of France?"
@@ -64,10 +64,3 @@ print(generated_text)
 
 
 
-@misc{llama-2-7b-chat-finetune,
-  author = {Shaheen Nabi},
-  title = {Fine-tuned Llama-2-7B-Chat Model},
-  year = {2024},
-  publisher = {Hugging Face},
-  howpublished = {\url{https://huggingface.co/devshaheen/llama-2-7b-chat-finetune}},
-}