Kor Naver Ner Name

🚀 Korean Name Recognition Model

This is a model fine-tuned on the kor-bert model. It was trained on 160,000 Korean names generated by a generator based on less commonly used Korean names.

For example: "Hello, I'm Lim Joon-young." -> "Hello, ***."

🚀 Quick Start

The Korean Name Recognition Model is a fine - tuned kor - bert model. It uses a generator based on less frequently used Korean names to create 160,000 Korean names for training.

💻 Usage Examples

Basic Usage

from transformers import BertTokenizerFast, BertForTokenClassification
from transformers import pipeline

model_name = 'joon09/kor-naver-ner-name'
tokenizer = BertTokenizerFast.from_pretrained(model_name)
model = BertForTokenClassification.from_pretrained(model_name)
nlp = pipeline("ner", model=model, tokenizer=tokenizer)

ner('안녕하세요. 임준영입니다.',grouped_entities=True,aggregation_strategy='average')

[{'entity_group': 'PER',
  'score': 0.99999785,
  'word': '임',
  'start': 7,
  'end': 8},
 {'entity_group': 'PER',
  'score': 0.82035744,
  'word': '##준영',
  'start': 8,
  'end': 10}]