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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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+
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+ # IndoBERT for Multi-Label Classification
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+
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+ This model is fine-tuned for multi-label classification of issue types.
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+
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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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+
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+ ## Usage
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+ To use this model with the Hugging Face pipeline:
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+
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+ ```python
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+ from transformers import pipeline
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+
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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)