Update README.md

README.md

@@ -43,9 +43,9 @@ The code of Hammer 2.1 models have been in the latest Hugging face transformers
 ## How to Use
 Hammer models offer flexibility in deployment and usage, fully supporting both **vLLM** deployment and **Hugging Face Transformers** tool calling. Below are the specifics on how to make use of these features:
 
-#### Using vLLM
+### Using vLLM
 
-##### Option 1: Using Hammer client
+#### Option 1: Using Hammer client
 vLLM offers efficient serving with lower latency. To serve the model with vLLM:
 ```
 vllm serve MadeAgents/Hammer2.1-7b --host 0.0.0.0 --port 8000 --tensor-parallel-size 1
@@ -96,7 +96,7 @@ print(response)
 ~~~
 
 
-##### Option 2: Using vLLM’s built-in tool calling
+#### Option 2: Using vLLM’s built-in tool calling
 Hammer2.1 supports vllm’s built-in tool calling. This functionality requires vllm>=0.6. If you want to enable this functionality, please start vllm’s OpenAI-compatible service with:
 ~~~
 vllm serve MadeAgents/Hammer2.1-7b --enable-auto-tool-choice --tool-call-parser hermes
@@ -180,7 +180,7 @@ print(chat_response.choices[0].message.content)
 ~~~
 
 
-#### Using Hugging Face Transformers
+### Using Hugging Face Transformers
 Hammer2.1’s chat template also includes a tool calling template, meaning that you can use Hugging Face transformers’ tool calling support. This is a simple example of how to use our model using Transformers.
 ~~~
 import torch