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README.md
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@@ -27,6 +27,19 @@ This model was obtained by `instruction-tuning` the corresponding `ClueAI/Prompt
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### Model Sources
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- Repository: [https://github.com/TedYeh/Chinese_spelling_Correction](https://github.com/TedYeh/Chinese_spelling_Correction)
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## Usage
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```python
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from transformers import AutoTokenizer, T5ForConditionalGeneration
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### Model Sources
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- Repository: [https://github.com/TedYeh/Chinese_spelling_Correction](https://github.com/TedYeh/Chinese_spelling_Correction)
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### Evaluation
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accuracy recall precision F1 FPR
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- Chinese spelling error correction task(SIGHAN2015):
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| Model | Base Model | accuracy | recall | precision | F1 | FPR |
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|:--------------:|:---------------------------:|:---------:|:---------:|:---------:|:-----:|:-----:|
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| GECToR | hfl/chinese-macbert-base | 71.7 | 71.6 | 71.8 | 71.7 | 28.2 |
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| GECToR_large | hfl/chinese-macbert-large | 73.7 | 76.5 | 72.5 | 74.4 | 29.1 |
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| T5 w/ pretrain | ClueAI/PromptCLUE-base-v1-5 | 79.2 | 69.2 | 85.8 | 76.6 | 11.1 |
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| T5 w/o pretrain| ClueAI/PromptCLUE-base-v1-5 | 75.1 | 63.1 | 82.2 | 71.4 | 13.3 |
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| PTCSpell | | N/A | 79.0 | 89.4 | 83.8 | N/A |
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| MDCSpell | | N/A | 77.2 | 81.5 | 79.3 | N/A |
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## Usage
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```python
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from transformers import AutoTokenizer, T5ForConditionalGeneration
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