46 lines
1.4 KiB
Markdown
46 lines
1.4 KiB
Markdown
---
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language: Korean
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---
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# KoELECTRA (Base Generator)
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Pretrained ELECTRA Language Model for Korean (`koelectra-base-generator`)
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For more detail, please see [original repository](https://github.com/monologg/KoELECTRA/blob/master/README_EN.md).
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## Usage
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### Load model and tokenizer
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```python
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>>> from transformers import ElectraModel, ElectraTokenizer
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>>> model = ElectraModel.from_pretrained("monologg/koelectra-base-generator")
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>>> tokenizer = ElectraTokenizer.from_pretrained("monologg/koelectra-base-generator")
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```
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### Tokenizer example
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```python
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>>> from transformers import ElectraTokenizer
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>>> tokenizer = ElectraTokenizer.from_pretrained("monologg/koelectra-base-generator")
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>>> tokenizer.tokenize("[CLS] 한국어 ELECTRA를 공유합니다. [SEP]")
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['[CLS]', '한국어', 'E', '##L', '##EC', '##T', '##RA', '##를', '공유', '##합니다', '.', '[SEP]']
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>>> tokenizer.convert_tokens_to_ids(['[CLS]', '한국어', 'E', '##L', '##EC', '##T', '##RA', '##를', '공유', '##합니다', '.', '[SEP]'])
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[2, 18429, 41, 6240, 15229, 6204, 20894, 5689, 12622, 10690, 18, 3]
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```
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## Example using ElectraForMaskedLM
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```python
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from transformers import pipeline
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fill_mask = pipeline(
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"fill-mask",
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model="monologg/koelectra-base-generator",
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tokenizer="monologg/koelectra-base-generator"
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)
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print(fill_mask("나는 {} 밥을 먹었다.".format(fill_mask.tokenizer.mask_token)))
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```
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