---
tags:
- text-classification
- multi-label
- indoBERT
---

# IndoBERT for Multi-Label Classification

This model is fine-tuned for multi-label classification of issue types.

## Label Mapping
| Label ID   | Label Name                    |
|------------|-------------------------------|
| LABEL_0    | APP                           |
| LABEL_1    | CATER                         |
| LABEL_2    | DISCARD                       |
| LABEL_3    | GPTL                          |
| LABEL_4    | INTEGRITAS                    |
| LABEL_5    | PB                            |
| LABEL_6    | PD                            |
| LABEL_7    | PERUBAHAN DATA                |
| LABEL_8    | PS                            |
| LABEL_9    | TAGIHAN LISTRIK DAN TOKEN     |
| LABEL_10   | TUSBUNG                       |

## Usage
To use this model with the Hugging Face pipeline:

```python
from transformers import pipeline

classifier = pipeline("text-classification", model="your-username/your-model-name")
result = classifier("Mati lampu di rumah tolong perbaiki.")
print(result)