Fix the code markdown formatting of README

README.md

@@ -1,20 +1,29 @@
 ### Import from Transformers
 To load the Moss 7B model using Transformers, use the following code:
+
 ```python
->>> from transformers import AutoTokenizer, AutoModelForCausalLM
->>> tokenizer = AutoTokenizer.from_pretrained("fnlp/moss-base-7b", trust_remote_code=True)
->>> model = AutoModelForCausalLM.from_pretrained("fnlp/moss-base-7b", trust_remote_code=True).cuda()
->>> model = model.eval()
->>> inputs = tokenizer(["流浪地球的导演是"], return_tensors="pt")
->>> for k,v in inputs.items():
-        inputs[k] = v.cuda()
->>> outputs = model.generate(**inputs, do_sample=True, temperature=0.8, top_p=0.8, repetition_penalty=1.1, max_new_tokens=256)
->>> response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True)
->>> print(response)
+# If seeing sentencepiece error: $ pip install sentencepiece
+from transformers import AutoTokenizer, AutoModelForCausalLM
+tokenizer = AutoTokenizer.from_pretrained("fnlp/moss-base-7b",
+                                          trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("fnlp/moss-base-7b",
+                                             trust_remote_code=True).cuda()
+model = model.eval()
+inputs = tokenizer(["流浪地球的导演是"], return_tensors="pt")
+for k,v in inputs.items():
+    inputs[k] = v.cuda()
+outputs = model.generate(**inputs, do_sample=True, temperature=0.8, top_p=0.8,
+                         repetition_penalty=1.1, max_new_tokens=256)
+response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:],
+                            skip_special_tokens=True)
+print(response)
+"""
 郭帆
 主演分别是吴京和屈楚萧 还有李光洁刘德华等等
 这电影可以说是目前国内科幻片的天花板了
 票房也是突破50亿大关啦
 小编真的非常期待这部电影呀
 所以呢今天就给大家整理了关于影片中的很多细节图哦~
-不知道大家有没有注意到呢
+不知道大家有没有注意到呢
+"""
+```