Instructions to use rudalson/klue-bert-classification-petitions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rudalson/klue-bert-classification-petitions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rudalson/klue-bert-classification-petitions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rudalson/klue-bert-classification-petitions") model = AutoModelForSequenceClassification.from_pretrained("rudalson/klue-bert-classification-petitions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -55,6 +55,7 @@ KLUE-BERT ๋ชจ๋ธ(`klue/bert-base`)์ ํ๊ตญ ์ฒญ์๋ ๊ตญ๋ฏผ์ฒญ์ ๋ฐ์ดํฐ์
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### Final Evaluation Metrics (on Test Set)
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- ์ ํ๋ (Accuracy): 0.4505
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- ์ ๋ฐ๋ (Precision): 0.3684
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- ์ฌํ์จ (Recall): 0.0693
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### Final Evaluation Metrics (on Test Set)
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- ํ๊ฐ ์ํ ์: 2,000๊ฐ
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- ์ ํ๋ (Accuracy): 0.4505
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- ์ ๋ฐ๋ (Precision): 0.3684
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- ์ฌํ์จ (Recall): 0.0693
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