Update README.md

README.md

@@ -12,8 +12,10 @@ This model is a 10.2 billion parameter model that combines two sets of 24 layers
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 import torch
+
 tokenizer = AutoTokenizer.from_pretrained("sudy-super/baku-10b")
 model = AutoModelForCausalLM.from_pretrained("sudy-super/baku-10b", device_map="auto", torch_dtype=torch.bfloat16)
+
 prompt = "LLMとは、"
 token_ids = tokenizer.encode(prompt, add_special_tokens=False, return_tensors="pt")
 with torch.no_grad():
@@ -27,5 +29,6 @@ with torch.no_grad():
         eos_token_id=tokenizer.eos_token_id
     )
 result = tokenizer.decode(output_ids.tolist()[0])
+
 print(result)
 ```