Update README.md

README.md

@@ -6,6 +6,16 @@ datasets:
 - prithivMLmods/Deepfakes-QA-Leaning
 - prithivMLmods/Deepfakes-QA-Patch1
 - prithivMLmods/Deepfake-QA-10K-OPT
+language:
+- en
+base_model:
+- google/vit-base-patch16-224-in21k
+pipeline_tag: image-classification
+library_name: transformers
+tags:
+- deepfake
+- quality
+- assess
 ---
 ![9.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/CJCTKBIv92WwFYdnmGrFR.png)
 # **Deepfake-QualityAssess2.1-85M**
@@ -85,4 +95,4 @@ print(f"Predicted Label: {label}")
 - **Dataset Filtering** – Helps filter out low-quality deepfake samples in datasets for better training of deepfake detection models.  
 - **Forensic Analysis** – Supports forensic teams in evaluating deepfake quality to prioritize high-quality samples for deeper analysis.  
 - **Content Moderation** – Assists social media platforms and content moderation teams in assessing deepfake quality before deciding on further actions.  
-- **Benchmarking Deepfake Models** – Used to compare and evaluate different deepfake generation models based on their output quality. 
+- **Benchmarking Deepfake Models** – Used to compare and evaluate different deepfake generation models based on their output quality.