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

BertForSequenceClassification model (Classical Chinese)

Open In Colab

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.

Model description

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.

Intended uses & limitations

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

How to use

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

1. Import model and packages

to be finished...