Update whl_en.md

docs/en/whl_en.md

@@ -6,7 +6,7 @@
 
 install by pypi
 ```bash
-pip install paddleclas==2.0.1
+pip install paddleclas==2.0.2
 ```
 
 build own whl package and install
@@ -73,7 +73,7 @@ paddleclas --model_name=ResNet50 --top_k=5 --image_file='docs/images/whl/demo.jp
 * pre_label_image(bool): whether prelabel or not, default=False.
 * pre_label_out_idr(str): If prelabeling, the path of output.
 
-**Note**: If you want to use `Transformer series models`, such as `DeiT_***_384`, `ViT_***_384`, etc., please pay attention to the input size of model, and need to set `resize_short=384`, `reize=384` when building a `PaddleClas` object. The following is a demo.
+**Note**: If you want to use `Transformer series models`, such as `DeiT_***_384`, `ViT_***_384`, etc., please pay attention to the input size of model, and need to set `resize_short=384`, `resize=384` when building a `PaddleClas` object. The following is a demo.
 
 ```python
 clas = PaddleClas(model_name='ViT_base_patch16_384', top_k=5, resize_short=384, resize=384)