Update README.md

README.md

@@ -10,8 +10,8 @@ This model is a fine-tuned version of Llama2-13B using the RAG-LER (Retrieval Au
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
 
-tokenizer = AutoTokenizer.from_pretrained("notoookay/rag-ler-llama2-13b")
-model = AutoModelForCausalLM.from_pretrained("notoookay/rag-ler-llama2-13b", torch_dtype=torch.bfloat16, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained("notoookay/ragler-llama2-13b")
+model = AutoModelForCausalLM.from_pretrained("notoookay/ragler-llama2-13b", torch_dtype=torch.bfloat16, device_map="auto")
 
 # Example usage
 input_text = "### Instruction:\nAnswer the following question.\n\n### Input:\nQuestion:\nWhat is the capital of France?\n\n### Response:\n"