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- Model Details - How to Get Started With the Model - Uses - Risks, Limitations and Biases - Training - Evaluation - Environmental Impact - Technical Specifications - Citation Information - Model Card Authors **Model Description:** KLUE BERT base is a pre-trained BERT Model on Korean Language. The developers of KLUE BERT base developed the model in the context of the development of the Korean Language Understanding Evaluation (KLUE) Benchmark. - **Developed by:** See GitHub Repo for model developers - **Model Type:** Transformer-based language model - **Language(s):** Korean - **License:** cc-by-sa-4.0 - **Parent Model:** See the BERT base uncased model for more information about the BERT base model. - **Resources for more information:** - Research Paper - GitHub Repo

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Pretrained RoBERTa Model on Korean Language. See Github and Paper for more details. _NOTE:_ Use `BertTokenizer` instead of RobertaTokenizer. (`AutoTokenizer` will load `BertTokenizer`)

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