---
language:
- zh
tags:
- Transformer
- korean
- romanization
- person name
- 한국어
license: cc-by-nc-sa-4.0
---

# <font color="IndianRed"> BertForSequenceClassification model (Classical Chinese) </font>
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1jVu2LrNwkLolItPALKGNjeT6iCfzF8Ic?usp=sharing/)

This Korean-person-name-romanization-transformer model is intended to convert Korean person name into English romanization. The model's input sentence is a Korean name, and the output sentence is its corresponding English romanization. 

## <font color="IndianRed"> Model description </font>

The transformer model has an encoder and a decoder, in which the encoder takes a sentence in the source language and the decoder outputs it into the target language. 

## <font color="IndianRed"> Intended uses & limitations </font>

Note that this model primarily aims at translating Korean names into English romanization.

### <font color="IndianRed"> How to use </font>

Here is how to use this model to get the features of a given text in PyTorch:

<font color="cornflowerblue"> 1. Import model and packages </font>

to be finished...