Update README.md

README.md

@@ -17,6 +17,8 @@ pipeline_tag: text-generation
 
 # Regex-AI-Llama-3.2-1B
 
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+
 This model is a fine-tuned version of `meta-llama/Llama-3.2-1B-Instruct` specifically trained on the `phongo/RegEx` dataset for generating regular expressions. It aims to provide accurate and efficient regex solutions based on natural language descriptions of the desired pattern.
 
 ## Model Description
@@ -35,4 +37,26 @@ This model is intended for generating regular expressions based on natural langu
 * **Complexity:**  The model may struggle with extremely complex or nuanced regex patterns.
 * **Ambiguity:** Ambiguous natural language descriptions can lead to inaccurate regexes.  Be as precise and clear as possible in your prompts.
 * **Edge Cases:**  The model might not cover all possible edge cases in regex syntax.
-* **Security:** Always validate and sanitize generated regexes before using them in production environments to prevent potential security vulnerabilities (e.g., ReDoS attacks).
+* **Security:** Always validate and sanitize generated regexes before using them in production environments to prevent potential security vulnerabilities (e.g., ReDoS attacks).
+
+## How to use
+
+You can use this model with the following code:
+```python
+from llama_cpp import Llama
+
+llm = Llama.from_pretrained(
+	repo_id="mishl/Regex-AI-Llama-3.2-1B", 
+	filename="unsloth.Q4_K_M.gguf", # Or unsloth.F16.gguf
+)
+
+llm.create_chat_completion(
+	messages = [
+		{
+			"role": "user",
+			"content": "Create regex for masked links like this [website](www.example.com)"
+		}
+	]
+)
+```
+