Train a Sentence Generating Model for Korean Data
Codes for training a Sentence Generating Model for Korean Data
Published by Haerim Hwang
BERT sentence generation natural language processing google colab python
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This script creates a finetuned BERT model to generate sentences using the NSMC (Naver Sentiment Movie Corpus) corpus. We use Google Colab for the script, which allows us to use GPU instead of CPU.
Click HERE for the Python script in Google Colab.
These codes were revised based on the following references.
https://ratsgo.github.io/nlpbook/docs/generation/train/https://ratsgo.github.io/nlpbook/docs/generation/inference1/https://ratsgo.github.io/nlpbook/docs/generation/inference2/https://huggingface.co/blog/how-to-generate