Update README.md

README.md

@@ -10,8 +10,25 @@ language:
 base_model: indobenchmark/indobert-base-p1
 pipeline_tag: text-classification
 ---
+
+
 # Sentiment BERT Tweet
-A BERT model fine-tuned for tweet sentiment classification.
+
+A BERT model fine-tuned for Indonesian tweet sentiment classification.  
+This model classifies tweets into three sentiment categories:
+
+- **Positive**
+- **Negative**
+- **Neutral**
+
+## How to Use
+
+```python
+from transformers import pipeline
+
+model = pipeline("text-classification", model="VIOLET21/sentiment-bert-tweet")
+result = model("Saya sangat senang hari ini!")
+print(result)