
# Korean BERT Model base weight - v1
This model is the Korean implementation of bert model. The license is as follows. It is used as a base for various purposes.
Pretrained models and Tokenizers related to [KOBERT](https://sktelecom.github.io/project/kobert/) comply with the apache2.0 license according to the license of the dependency package.

# Quick Start
```python
import torch
from transformers import BertModel
model = BertModel.from_pretrained('danielpark/kobert-base-v1')
text = "SKT의 KOBERT를 base로 사용합니다."
inputs = tokenizer.batch_encode_plus([text])
out = model(input_ids = torch.tensor(inputs['input_ids']),
              attention_mask = torch.tensor(inputs['attention_mask']))
out.pooler_output.shape
torch.Size([1, 768])
```


# References
[1] documentation https://sktelecom.github.io/project/kobert/ <BR>
[2] github https://github.com/SKTBrain/KoBERT

{"license": "apache-2.0"}
transformers pytorch safetensors bert feature-extraction license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #feature-extraction #license-apache-2.0 #endpoints_compatible #region-us 


# Korean BERT Model base weight - v1
This model is the Korean implementation of bert model. The license is as follows. It is used as a base for various purposes.
Pretrained models and Tokenizers related to KOBERT comply with the apache2.0 license according to the license of the dependency package.

# Quick Start



# References
[1] documentation URL <BR>
[2] github URL

# Korean BERT Model base weight - v1
This model is the Korean implementation of bert model. The license is as follows. It is used as a base for various purposes.
Pretrained models and Tokenizers related to KOBERT comply with the apache2.0 license according to the license of the dependency package. # Quick Start # References
[1] documentation URL <BR>
[2] github URL
TAGS
#transformers #pytorch #safetensors #bert #feature-extraction #license-apache-2.0 #endpoints_compatible #region-us 
 # Korean BERT Model base weight - v1
This model is the Korean implementation of bert model. The license is as follows. It is used as a base for various purposes.
Pretrained models and Tokenizers related to KOBERT comply with the apache2.0 license according to the license of the dependency package. # Quick Start # References
[1] documentation URL <BR>
[2] github URL
TAGS
#transformers #pytorch #safetensors #bert #feature-extraction #license-apache-2.0 #endpoints_compatible #region-us 
# Korean BERT Model base weight - v1
This model is the Korean implementation of bert model. The license is as follows. It is used as a base for various purposes.
Pretrained models and Tokenizers related to KOBERT comply with the apache2.0 license according to the license of the dependency package.# Quick Start# References
[1] documentation URL <BR>
[2] github URL