
# Funnel-transformer 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 FunnelTokenizer, FunnelModel

tokenizer = FunnelTokenizer.from_pretrained("kykim/funnel-kor-base")
model = FunnelModel.from_pretrained("kykim/funnel-kor-base")
```
{"language": "ko"}
transformers pytorch tf funnel feature-extraction ko endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #funnel #feature-extraction #ko #endpoints_compatible #has_space #region-us 


# Funnel-transformer 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


# Funnel-transformer 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 #funnel #feature-extraction #ko #endpoints_compatible #has_space #region-us 
 # Funnel-transformer 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 #funnel #feature-extraction #ko #endpoints_compatible #has_space #region-us 
# Funnel-transformer 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