Update README.md

README.md

@@ -29,6 +29,9 @@ model-index:
 language:
 - id
 pipeline_tag: text-classification
+
+widget:
+- text: "Kalo kamu WFH emang kerja?"
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,16 +47,17 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model can be used to determine the sentiment of a text with three possible outputs [positive, negative, neutral]
 
 ## How to use
 
+```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
 tokenizer = AutoTokenizer.from_pretrained("hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier")
 
 model = AutoModelForSequenceClassification.from_pretrained("hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier")
-
+```
 
 ### Training results