Instructions to use Doohae/lassl-koelectra-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Doohae/lassl-koelectra-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Doohae/lassl-koelectra-base") model = AutoModelForPreTraining.from_pretrained("Doohae/lassl-koelectra-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
ELECTRA discriminator base
- pretrained with large Korean corpus datasets (30GB)
- 113M model parameters (followed google/electra-base-discriminator config)
- 35,000 vocab size
- trained for 1,000,000 steps
- built on lassl framework
pretrain-data
β£ korean_corpus.txt
β£ kowiki_latest.txt
β£ modu_dialogue_v1.2.txt
β£ modu_news_v1.1.txt
β£ modu_news_v2.0.txt
β£ modu_np_2021_v1.0.txt
β£ modu_np_v1.1.txt
β£ modu_spoken_v1.2.txt
β modu_written_v1.0.txt
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