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Model can Detect Following Entity Group

  • ACCOUNTNUMBER
  • FIRSTNAME
  • ACCOUNTNAME
  • PHONENUMBER
  • CREDITCARDCVV
  • CREDITCARDISSUER
  • PREFIX
  • LASTNAME
  • AMOUNT
  • DATE
  • DOB
  • COMPANYNAME
  • BUILDINGNUMBER
  • STREET
  • SECONDARYADDRESS
  • STATE
  • EMAIL
  • CITY
  • CREDITCARDNUMBER
  • SSN
  • URL
  • USERNAME
  • PASSWORD
  • COUNTY
  • PIN
  • MIDDLENAME
  • IBAN
  • GENDER
  • AGE
  • ZIPCODE
  • SEX

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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