Huffon/klue-transformers-tutorial
KLUE 데이터를 활용한 HuggingFace Transformers 튜토리얼
This project offers practical examples for training natural language processing models, using established libraries like HuggingFace Transformers and Sentence Transformers. It takes Korean-language datasets (KLUE benchmark) as input to produce models capable of tasks like sentence classification and understanding textual relationships. Data scientists, NLP engineers, and researchers working with Korean text will find this useful for building and fine-tuning their models.
129 stars. No commits in the last 6 months.
Use this if you need clear, executable examples to train NLP models for various tasks using Korean text data.
Not ideal if you are looking for models specifically trained on languages other than Korean, or if you need a pre-built, production-ready solution without any training.
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Jupyter Notebook
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Apache-2.0
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Jun 28, 2021
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