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--- |
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tags: |
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- text-classification |
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- multi-label |
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- indoBERT |
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--- |
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# IndoBERT for Multi-Label Classification |
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This model is fine-tuned for multi-label classification of issue types. |
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## Label Mapping |
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| Label ID | Label Name | |
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|------------|-------------------------------| |
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| LABEL_0 | APP | |
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| LABEL_1 | CATER | |
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| LABEL_2 | DISCARD | |
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| LABEL_3 | GPTL | |
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| LABEL_4 | INTEGRITAS | |
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| LABEL_5 | PB | |
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| LABEL_6 | PD | |
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| LABEL_7 | PERUBAHAN DATA | |
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| LABEL_8 | PS | |
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| LABEL_9 | TAGIHAN LISTRIK DAN TOKEN | |
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| LABEL_10 | TUSBUNG | |
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## Usage |
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To use this model with the Hugging Face pipeline: |
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```python |
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from transformers import pipeline |
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classifier = pipeline("text-classification", model="your-username/your-model-name") |
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result = classifier("Mati lampu di rumah tolong perbaiki.") |
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print(result) |
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