
# Bert 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, BertModel

tokenizer_bert = BertTokenizerFast.from_pretrained("kykim/bert-kor-base")
model_bert = BertModel.from_pretrained("kykim/bert-kor-base")
```
{"language": "ko"}
transformers pytorch tf jax bert fill-mask ko autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #jax #bert #fill-mask #ko #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Bert 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


# Bert 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 #jax #bert #fill-mask #ko #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Bert 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 #jax #bert #fill-mask #ko #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Bert 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