Update README.md

README.md

@@ -42,14 +42,17 @@ from unsloth import is_bfloat16_supported
 from transformers import AutoModelForCausalLM, BitsAndBytesConfig
 
 # Configure the quantization
+```
 bnb_config = BitsAndBytesConfig(
     load_in_4bit=True,
     bnb_4bit_use_double_quant=True,
     bnb_4bit_quant_type="nf4",
     bnb_4bit_compute_dtype="float16"
 )
+```
 
 # Load the model with quantization
+```
 model1 = AutoModelForCausalLM.from_pretrained(
     "harithapliyal/llama-3-8b-bnb-4bit-finetuned-SentAnalysis", 
     quantization_config=bnb_config
@@ -70,5 +73,5 @@ inputs = tokenizer(
 outputs = model.generate(**inputs, max_new_tokens = 64, use_cache = True)
 outputs = tokenizer.decode(outputs[0])
 print(outputs)
-
+```