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README.md
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@@ -44,6 +44,26 @@ The copyright of the datasets belongs to the Institute of Linguistics, Academia
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```python
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>>> from transformers import pipeline
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>>> unmasker = pipeline('fill-mask', model='ckiplab/oldhan-bert-base-chinese')
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>>> unmasker("
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```
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```python
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>>> from transformers import pipeline
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>>> unmasker = pipeline('fill-mask', model='ckiplab/oldhan-bert-base-chinese')
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>>> unmasker("้ป[MASK]ๆผ่ฎๆ้ใ")
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[{'sequence': '้ป ๆฐ ๆผ ่ฎ ๆ ้ ใ',
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'score': 0.14885780215263367,
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'token': 3696,
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'token_str': 'ๆฐ'},
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{'sequence': '้ป ๅบถ ๆผ ่ฎ ๆ ้ ใ',
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'score': 0.0859643816947937,
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'token': 2433,
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'token_str': 'ๅบถ'},
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{'sequence': '้ป ๆฐ ๆผ ่ฎ ๆ ้ ใ',
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'score': 0.027848130092024803,
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'token': 3694,
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'token_str': 'ๆฐ'},
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{'sequence': '้ป ไบบ ๆผ ่ฎ ๆ ้ ใ',
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'score': 0.023678112775087357,
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'token': 782,
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'token_str': 'ไบบ'},
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{'sequence': '้ป ็ ๆผ ่ฎ ๆ ้ ใ',
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'score': 0.018718384206295013,
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'token': 4495,
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'token_str': '็'}]
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```
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