Update README.md

README.md

@@ -61,7 +61,7 @@ You can use this model directly with the `pipeline` function from the `transform
 from transformers import pipeline
 
 # Load the model from the Hub
-model_id = "your-username/adfluence-intent-model" #<-- Replace with your model ID
+model_id = "YosefA/adfluence-intent-model"
 classifier = pipeline("text-classification", model=model_id)
 
 # --- Example Usage ---
@@ -113,7 +113,7 @@ This model was fine-tuned on the custom `YosefA/Adflufence-ad-comments` dataset.
 
 The dataset was created through the following process:
 
-* **Source:** Started with ~3180 English product reviews from an Amazon dataset.
+* **Source:** Started with ~3180 English product reviews from an Amazon dataset.(https://huggingface.co/datasets/hugginglearners/amazon-reviews-sentiment-analysis)
 * **Transformation:** Each review was programmatically rephrased and translated into a simulated social media comment using Google's Gemini Flash.
 * **Stylization:** Comments were generated in three styles to mimic real-world Ethiopian user behavior:
     * Amharic (Ge’ez script)