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albert-kor-base
kykim/albert-kor-base
albert-kor-base is a fill-mask model from kykim. Use it when you need the model to fill a missing word. It is set up for transformers.
70GB Korean text dataset and 42000 lower-cased subwords are used Check the model performance and other language models for Korean in github
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- albert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 22, 2021
- SHA
- 04e79bcd
Model card
From the Hugging Face model README
Albert base model for Korean
- 70GB Korean text dataset and 42000 lower-cased subwords are used
- Check the model performance and other language models for Korean in github
from transformers import BertTokenizerFast, AlbertModel
tokenizer_albert = BertTokenizerFast.from_pretrained("kykim/albert-kor-base")
model_albert = AlbertModel.from_pretrained("kykim/albert-kor-base")
- Task
- Fill-Mask
- Library
- transformers
- Type
- albert
- Languages
- ko
- Hf Inference
- error
- Created
- Mar 2, 2022
- Updated
- Jan 22, 2021