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--- |
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language: ko |
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license: apache-2.0 |
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tags: |
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- 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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