Update README.md

README.md

@@ -17,9 +17,9 @@ language:
  
 ![DF.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/du5WF3GmRq5czAvXyuggx.png)
 
-# deepfake-detector-model
+# deepfake-detector-model-v1
 
-> `deepfake-detector-model` is a vision-language encoder model fine-tuned from [`siglip2-base-patch16-512`](https://huggingface.co/google/siglip-base-patch16-512) for binary deepfake image classification. It is trained to detect whether an image is real or generated using synthetic media techniques. The model uses the `SiglipForImageClassification` architecture.
+> `deepfake-detector-model-v1` is a vision-language encoder model fine-tuned from google/siglip-base-patch16-512 for binary deepfake image classification. It is trained to detect whether an image is real or generated using synthetic media techniques. The model uses the `SiglipForImageClassification` architecture.
 
 > [!warning]
 Experimental
@@ -68,7 +68,7 @@ from PIL import Image
 import torch
 
 # Load model and processor
-model_name = "prithivMLmods/deepfake-detector-model"  # Updated model name
+model_name = "prithivMLmods/deepfake-detector-model-v1"  
 model = SiglipForImageClassification.from_pretrained(model_name)
 processor = AutoImageProcessor.from_pretrained(model_name)