Update README.md

README.md

@@ -7,11 +7,20 @@ tags:
 - knowledge extraction
 - tiny
 - small
+- C
 ---
+## Model info
+
 A model that can **extract the knowledge points** from the given **C language code**. 
 
 The base model is [pythia-70m](https://huggingface.co/EleutherAI/pythia-70m). This model was fine-tuned with 10 epochs using [Q-Lora](https://github.com/artidoro/qlora) method on my own training set.
 
+
+
+## How to use
+
+### quick start
+
 A usage example is as follows, first import the model and prepare the code:
 
 ```python
@@ -66,6 +75,8 @@ response = tokenizer.decode(tokens[0]).split('```')[-1].split('<')[0]
 
 
 
+### and more
+
 However, in practical use, in order to achieve more diverse representations, it's recommended to do multiple inferences. Don't worry, it's really small so the inferences don't take much time, as follows:
 
 ```python
@@ -95,5 +106,5 @@ print(ans_dict)
 ###     'Quick sort': 25,
 ###     'Recurrence': 2,
 ###     'Queue': 1
-###}
+### }
 ```