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@ -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)