Update README.md

README.md

@@ -72,21 +72,24 @@ iterate_model = AutoModelForCausalLM.from_pretrained(
 )
 #Note: You can quantize the model using bnb confi parameter to load the model in T4 GPU
 ```
+```
 ### Load tokenizer to save it
 tokenizer = AutoTokenizer.from_pretrained(model_repo_id, trust_remote_code=True)
 tokenizer.pad_token = tokenizer.eos_token
 tokenizer.padding_side = "right"
+```
 
+```
 ### Inferencing
 
 logging.set_verbosity(logging.CRITICAL)
-#### Sample prompt
+#Sample prompt
 prompt = "Can you provide a python script that uses the YOLOv8 model from the Ultralytics library to detect people in an image, draw green bounding boxes around them, and then save the image?"
 
 pipe = pipeline(task="text-generation", model=iterate_model, tokenizer=tokenizer, max_length=1024)
 result = pipe(f"Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:",temperature=0.1,do_sample=True)
 print(result[0]['generated_text'])
-
+```
 ## Sample demo notebook
 [https://colab.research.google.com/drive/1USuNLFxLex-C5tLHYET_nQfpM4ALCbc5?usp=sharing#scrollTo=lNCZTBj1nBsJ]