Update model path

README.md

@@ -31,11 +31,11 @@ Here provides a code snippet with `apply_chat_template` to show you how to load
 from transformers import AutoModelForCausalLM, AutoTokenizer
 device = "cuda" # the device to load the model onto
 model = AutoModelForCausalLM.from_pretrained(
-    "Uni-SMART/SciLitLLM-1.5/7B/",
+    "Uni-SMART/SciLitLLM1.5-7B",
     torch_dtype="auto",
     device_map="auto"
 )
-tokenizer = AutoTokenizer.from_pretrained("Uni-SMART/SciLitLLM-1.5/7B/")
+tokenizer = AutoTokenizer.from_pretrained("Uni-SMART/SciLitLLM1.5-7B")
 prompt = "Can you summarize this article for me?\n <ARTICLE>"
 messages = [
     {"role": "system", "content": "You are a helpful assistant."},