Update README.md

README.md

@@ -126,16 +126,16 @@ The model was evaluated using precision, recall, and F1 scores, with the followi
 To use this model, you can load it using the Hugging Face Transformers library:
 
 ```python
-from transformers import AutoTokenizer, AutoModelForSequenceClassification
+# Use a pipeline as a high-level helper
+from transformers import pipeline
 
-model_path = "path_to_your_model_directory_or_hub_repo"
+pipe = pipeline("text-classification", model="Rendika/Trained-DistilBERT-Indonesia-Presidential-Election-Balanced-Dataset")
 
-tokenizer = AutoTokenizer.from_pretrained(model_path)
-model = AutoModelForSequenceClassification.from_pretrained(model_path)
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
-# Example usage
-inputs = tokenizer("Your text here", return_tensors="pt")
-outputs = model(**inputs)
+tokenizer = AutoTokenizer.from_pretrained("Rendika/Trained-DistilBERT-Indonesia-Presidential-Election-Balanced-Dataset")
+model = AutoModelForSequenceClassification.from_pretrained("Rendika/Trained-DistilBERT-Indonesia-Presidential-Election-Balanced-Dataset")
 ```
 
 ## Conclusion