Update README.md

README.md

@@ -14,6 +14,8 @@ The model categorizes images into two classes:
 - **Class 0:** "Unsafe Content" – indicating that the image contains vulgarity, nudity, or explicit content.  
 - **Class 1:** "Safe Content" – indicating that the image is appropriate and does not contain any unsafe elements.  
 
+# **Run with Transformers**
+
 ```python
 !pip install -q transformers torch pillow gradio
 ```
@@ -68,6 +70,4 @@ The **Guard-Against-Unsafe-Content-Siglip2** model is designed to detect **inapp
 - **NSFW Content Detection:** Identifying images containing explicit content to help filter inappropriate material.  
 - **Content Moderation:** Assisting platforms in filtering out unsafe images before they are shared publicly.  
 - **Parental Controls:** Enabling automated filtering of explicit images in child-friendly environments.  
-- **Safe Image Classification:** Helping AI-powered applications distinguish between safe and unsafe content for appropriate usage.  
-
-This model is intended for **research, content moderation, and automated safety applications**, rather than **real-time detection** of explicit content.
+- **Safe Image Classification:** Helping AI-powered applications distinguish between safe and unsafe content for appropriate usage.