
# 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](https://github.com/kiyoungkim1/LM-kor)

```python
from transformers import BertTokenizerFast, AlbertModel

tokenizer_albert = BertTokenizerFast.from_pretrained("kykim/albert-kor-base")
model_albert = AlbertModel.from_pretrained("kykim/albert-kor-base")
```
{"language": "ko"}
transformers pytorch tf albert fill-mask ko autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #albert #fill-mask #ko #autotrain_compatible #endpoints_compatible #has_space #region-us 


# 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


# 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
TAGS
#transformers #pytorch #tf #albert #fill-mask #ko #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # 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
passage: TAGS
#transformers #pytorch #tf #albert #fill-mask #ko #autotrain_compatible #endpoints_compatible #has_space #region-us 
# 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