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README.md
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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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# 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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