
# LASSL bert-ko-base
## How to use
```python
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("lassl/bert-ko-base")
tokenizer = AutoTokenizer.from_pretrained("lassl/bert-ko-base")
```

## Evaluation
Evaulation results will be released soon.

## Corpora
This model was trained from 702,437 examples (whose have 3,596,465,664 tokens). 702,437 examples are extracted from below corpora. If you want to get information for training, you should see `config.json`.  

```bash
corpora/
├── [707M]  kowiki_latest.txt
├── [ 26M]  modu_dialogue_v1.2.txt
├── [1.3G]  modu_news_v1.1.txt
├── [9.7G]  modu_news_v2.0.txt
├── [ 15M]  modu_np_v1.1.txt
├── [1008M]  modu_spoken_v1.2.txt
├── [6.5G]  modu_written_v1.0.txt
└── [413M]  petition.txt
```

{"language": "ko", "license": "apache-2.0", "tags": ["fill-mask", "korean", "lassl"], "mask_token": "[MASK]", "widget": [{"text": "\ub300\ud55c\ubbfc\uad6d\uc758 \uc218\ub3c4\ub294 [MASK] \uc785\ub2c8\ub2e4."}]}
transformers pytorch bert pretraining fill-mask korean lassl ko license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #pretraining #fill-mask #korean #lassl #ko #license-apache-2.0 #endpoints_compatible #region-us 


# LASSL bert-ko-base
## How to use


## Evaluation
Evaulation results will be released soon.

## Corpora
This model was trained from 702,437 examples (whose have 3,596,465,664 tokens). 702,437 examples are extracted from below corpora. If you want to get information for training, you should see 'URL'.  



# LASSL bert-ko-base ## How to use ## Evaluation
Evaulation results will be released soon. ## Corpora
This model was trained from 702,437 examples (whose have 3,596,465,664 tokens). 702,437 examples are extracted from below corpora. If you want to get information for training, you should see 'URL'.
TAGS
#transformers #pytorch #bert #pretraining #fill-mask #korean #lassl #ko #license-apache-2.0 #endpoints_compatible #region-us 
 # LASSL bert-ko-base ## How to use ## Evaluation
Evaulation results will be released soon. ## Corpora
This model was trained from 702,437 examples (whose have 3,596,465,664 tokens). 702,437 examples are extracted from below corpora. If you want to get information for training, you should see 'URL'.
passage: TAGS
#transformers #pytorch #bert #pretraining #fill-mask #korean #lassl #ko #license-apache-2.0 #endpoints_compatible #region-us 
# LASSL bert-ko-base## How to use## Evaluation
Evaulation results will be released soon.## Corpora
This model was trained from 702,437 examples (whose have 3,596,465,664 tokens). 702,437 examples are extracted from below corpora. If you want to get information for training, you should see 'URL'.