Korean PII Masking Model

This model detects and masks personally identifiable information (PII) in Korean text.

Supported PII Types

  • PS_NAME: Person names
  • QT_MOBILE/QT_PHONE: Phone numbers
  • TMI_EMAIL: Email addresses
  • QT_RESIDENT_NUMBER: Resident registration numbers
  • QT_CARD_NUMBER: Card numbers

Usage

from transformers import pipeline

classifier = pipeline(
    "token-classification",
    model="your-username/korean-pii-masking",
    aggregation_strategy="simple"
)

text = "제 이름은 홍길동이고 전화번호는 010-1234-5678입니다."
results = classifier(text)
print(results)
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