Update README.md

README.md

@@ -16,6 +16,7 @@ pip install bitblas #to use the bitblas backend
 ```
 
 Then you can use the sample code below:
+## Transformers 🤗
 ``` Python
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
@@ -72,6 +73,7 @@ if(backend == 'gemlite'):
     gemlite.core.GemLiteLinear.cache_config('/tmp/gemlite_config.json') 
 ```
 
+## VLLM
 Run with <a href="https://github.com/vllm-project/vllm/">vllm</a>:
 ```Python
 ##################################################################