Update README.md

README.md

@@ -259,10 +259,10 @@ All training artifacts are publicly available:
 
 
 ## Usage Examples
-
-### Quantization
 <details>
-<summary>Click to expand <strong>encoder</strong> usage examples</summary>
+<summary>Click to expand <strong>quantization</strong> usage examples</summary>
+  
+```
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
 
@@ -293,6 +293,8 @@ with torch.no_grad():
 
 generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
 print(f"Generated text: {generated_text}")
+```
+
 </summary>
 
 ### Encoder: Masked Language Modeling