Update README.md

README.md

@@ -1,6 +1,20 @@
 ---
 license: apache-2.0
+datasets:
+- prithivMLmods/Deepfake-vs-Real
+language:
+- en
+base_model:
+- google/siglip2-base-patch16-224
+pipeline_tag: image-classification
+library_name: transformers
+tags:
+- deepfake
+- SigLIP2
+- 8K
 ---
+![6.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/vA2N-JPgpmrjDNw5-8Wmx.png)
+
 # **Deepfake-vs-Real-8000**  
 
 > **Deepfake-vs-Real-8000** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to detect whether an image is a deepfake or a real one using the **SiglipForImageClassification** architecture.  
@@ -85,4 +99,4 @@ The **Deepfake-vs-Real-8000** model is designed to detect deepfake images from r
 - **Deepfake Detection:** Assisting cybersecurity experts and forensic teams in detecting synthetic media.  
 - **Media Verification:** Helping journalists and fact-checkers verify the authenticity of images.  
 - **AI Ethics & Research:** Contributing to studies on AI-generated content detection.  
-- **Social Media Moderation:** Enhancing tools to prevent misinformation and digital deception.  
+- **Social Media Moderation:** Enhancing tools to prevent misinformation and digital deception.