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add svtr and nrtr docs
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<a name="model"></a>
`SVTR`在场景文本识别公开数据集上的精度(%)和模型文件如下:

| SVTR |IC13<br/>857 | SVT |IIIT5k<br/>3000 |IC15<br/>1811| SVTP |CUTE80 | Avg_6 |IC15<br/>2077 |IC13<br/>1015 |IC03<br/>867|IC03<br/>860|Avg_10 |Chinese| 英文<br/>链接 | 中文<br/>链接 |
|:-----:|:------:|:-----:|:---------:|:------:|:-----:|:-----:|:-----:|:-------:|:-------:|:-----:|:-----:|:-----:|:-----:|:---------:|:---------:|
| Large | 97.20 | 91.65 | 96.30 | 86.58 | 88.37 | 95.14 | 92.82 | 84.54 | 96.35 | 96.54 | 96.74 | 92.24 | 72.10 | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_large_none_ctc_en_train/.tar) | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_large_none_ctc_ch_train/.tar) |
| Base | 97.08 | 91.50 | 96.03 | 85.20 | 89.92 | 91.67 | 92.33 | 83.73 | 95.66 | 95.62 | 95.81 | 91.61 | 71.40 | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_base_none_ctc_en_train.tar) | - |
| Small | 95.92 | 93.04 | 95.03 | 84.70 | 87.91 | 92.01 | 91.63 | 82.72 | 94.88 | 96.08 | 96.28 | 91.02 | 69.00 | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_small_none_ctc_en_train/.tar) | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_small_none_ctc_ch_train/.tar) |
| Tiny | 96.85 | 91.34 | 94.53 | 83.99 | 85.43 | 89.24 | 90.87 | 80.55 | 95.37 | 95.27 | 95.70 | 90.13 | 67.90 | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_tiny_none_ctc_en_train/.tar) | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_tiny_none_ctc_ch_train/.tar) |
| SVTR |IC13<br/>857 | SVT |IIIT5k<br/>3000 |IC15<br/>1811| SVTP |CUTE80 | Avg_6 |IC15<br/>2077 |IC13<br/>1015 |IC03<br/>867|IC03<br/>860|Avg_10 |Chinese| 英文<br/>链接 | 中文<br/>链接 |
|:-----:|:------:|:-----:|:---------:|:------:|:-----:|:-----:|:-----:|:-------:|:-------:|:-----:|:-----:|:-----:|:-----:|:----------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------:|
| Large | 97.20 | 91.65 | 96.30 | 86.58 | 88.37 | 95.14 | 92.82 | 84.54 | 96.35 | 96.54 | 96.74 | 92.24 | 72.10 | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_large_none_ctc_en_train.tar) | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_large_none_ctc_ch_train.tar) |
| Base | 97.08 | 91.50 | 96.03 | 85.20 | 89.92 | 91.67 | 92.33 | 83.73 | 95.66 | 95.62 | 95.81 | 91.61 | 71.40 | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_base_none_ctc_en_train.tar) | - |
| Small | 95.92 | 93.04 | 95.03 | 84.70 | 87.91 | 92.01 | 91.63 | 82.72 | 94.88 | 96.08 | 96.28 | 91.02 | 69.00 | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_small_none_ctc_en_train.tar) | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_small_none_ctc_ch_train.tar) |
| Tiny | 96.85 | 91.34 | 94.53 | 83.99 | 85.43 | 89.24 | 90.87 | 80.55 | 95.37 | 95.27 | 95.70 | 90.13 | 67.90 | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_tiny_none_ctc_en_train.tar) | [模型&配置](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/rec_svtr_tiny_none_ctc_ch_train.tar) |



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