Update README.md

README.md

@@ -1,17 +1,34 @@
 ---
 library_name: transformers
-tags: []
+tags:
+- sentiment-analysis
+- bert
+- text-classification
+license: apache-2.0
+language:
+- id
+base_model: indobenchmark/indobert-base-p1
+pipeline_tag: text-classification
 ---
 
-# Model Card for Model ID
+# Sentiment BERT Tweet
 
-<!-- Provide a quick summary of what the model is/does. -->
+A BERT model fine-tuned for Indonesian tweet sentiment classification.  
+This model classifies tweets into three sentiment categories:
 
+- **Positive**
+- **Negative**
+- **Neutral**
 
+## How to Use
 
-## Model Details
+```python
+from transformers import pipeline
+
+model = pipeline("text-classification", model="VIOLET21/sentiment-bert-indo")
+result = model("Saya sangat senang hari ini!")
+print(result)
 
-### Model Description
 
 <!-- Provide a longer summary of what this model is. -->