This model is intended for Korean personally identifiable information detection in dialogue-like text. Typical labels include names, nicknames, account numbers, mobile numbers, emails, addresses, IDs, and related sensitive entities.

Quick Inference

python

from transformers import pipeline

pipe = pipeline(
    "token-classification",
    model="townboy/kpfbert-kdpii",
    aggregation_strategy="simple",
)

print(pipe("Phone 010-8661-5573, ID wanderingrabbit1"))

Notes

The classification head is reinitialized for the KDPII label space.
This checkpoint should be validated on your target product traffic before production use.

License and Attribution

This model is released under the MIT License.

This model was fine-tuned from KPF/KPF-bert-ner, which is released under the MIT License.

The model was trained using the KDPII DATASET REVISED.

The KDPII dataset is licensed under CC BY 4.0.

Please provide appropriate attribution to the KDPII dataset when using or redistributing this model.