readme note

README.md

@@ -64,7 +64,7 @@ The dataset used for training and evaluation should follow this structure:
 
 ### 1. Clone the Repository
 ```bash
-git clone https://huggingface.co/your-username/comic-sans-detector
+git clone https://huggingface.co/shoni/comic-sans-detector
 cd comic-sans-detector
 ```
 
@@ -81,11 +81,11 @@ If your dataset images are not in a consistent format, use `image-format-general
 
 The fine-tuned model can be deployed directly via the Hugging Face Inference API. Once uploaded, the model can be used to classify whether an image contains Comic Sans font.
 
-Example API usage (replace `your-username/comic-sans-detector` with your repository name):
+Example API usage (replace `shoni/comic-sans-detector` with your repository name):
 ```python
 from transformers import pipeline
 
-classifier = pipeline("image-classification", model="your-username/comic-sans-detector")
+classifier = pipeline("image-classification", model="shoni/comic-sans-detector")
 result = classifier("path/to/image.jpg")
 print(result)
 ```