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Update getting_started_en.md
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@ -226,10 +226,13 @@ Firstly, you should export inference model using `tools/export_model.py`.
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python tools/export_model.py \
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python tools/export_model.py \
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--model MobileNetV3_large_x1_0 \
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--model MobileNetV3_large_x1_0 \
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--pretrained_model ./output/MobileNetV3_large_x1_0/best_model/ppcls \
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--pretrained_model ./output/MobileNetV3_large_x1_0/best_model/ppcls \
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--output_path ./inference
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--output_path ./inference \
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--class_dim 1000
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```
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```
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Among them, the `--model` parameter is used to specify the model name, `--pretrained_model` parameter is used to specify the model file path, the path does not need to include the model file suffix name, and `--output_path` is used to specify the storage path of the converted model.
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Among them, the `--model` parameter is used to specify the model name, `--pretrained_model` parameter is used to specify the model file path, the path does not need to include the model file suffix name, and `--output_path` is used to specify the storage path of the converted model, class_dim means number of class for the model, default as 1000.
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注意:
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**Note**:
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**Note**:
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1. If `--output_path=./inference`, then three files will be generated in the folder `inference`, they are `inference.pdiparams`, `inference.pdmodel` and `inference.pdiparams.info`.
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1. If `--output_path=./inference`, then three files will be generated in the folder `inference`, they are `inference.pdiparams`, `inference.pdmodel` and `inference.pdiparams.info`.
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