Text Classification
Transformers
Safetensors
deberta-v2
deberta-v3
deberta
text-embeddings-inference
Instructions to use hbseong/HarmAug-Guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hbseong/HarmAug-Guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hbseong/HarmAug-Guard")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hbseong/HarmAug-Guard") model = AutoModelForSequenceClassification.from_pretrained("hbseong/HarmAug-Guard") - Notebooks
- Google Colab
- Kaggle
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The training process involves knowledge distillation paired with data augmentation, using our [**HarmAug Generated Dataset**](https://drive.google.com/drive/folders/1oLUMPauXYtEBP7rvbULXL4hHp9Ck_yqg).
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For more information, please refer to our [github](https://github.com/
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The training process involves knowledge distillation paired with data augmentation, using our [**HarmAug Generated Dataset**](https://drive.google.com/drive/folders/1oLUMPauXYtEBP7rvbULXL4hHp9Ck_yqg).
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For more information, please refer to our [github](https://github.com/hbseong97/HarmAug)
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