Text Classification
Transformers
Safetensors
Indonesian
bert
indoBERT
classification
aduan
indonesian
Eval Results (legacy)
text-embeddings-inference
Instructions to use Zulkifli1409/aduan-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zulkifli1409/aduan-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zulkifli1409/aduan-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zulkifli1409/aduan-model") model = AutoModelForSequenceClassification.from_pretrained("Zulkifli1409/aduan-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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[](https://huggingface.co/Zulkifli1409/aduan-model)
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://en.wikipedia.org/wiki/Indonesian_language)
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Model klasifikasi teks aduan masyarakat dalam Bahasa Indonesia menggunakan **IndoBERT (indobenchmark/indobert-base-p1)**.
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Model dapat mengelompokkan aduan ke dalam **5 kategori** dengan akurasi **96.10%**.
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[](https://huggingface.co/Zulkifli1409/aduan-model)
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[](https://opensource.org/licenses/Apache-2.0)
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[](https://en.wikipedia.org/wiki/Indonesian_language)
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[](https://klasifikasi-pengaduan-masyarakat.streamlit.app/)
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Model klasifikasi teks aduan masyarakat dalam Bahasa Indonesia menggunakan **IndoBERT (indobenchmark/indobert-base-p1)**.
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Model dapat mengelompokkan aduan ke dalam **5 kategori** dengan akurasi **96.10%**.
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