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 ## Python package of insightface README
 
-insightface==0.2 is ready now. Please update with `pip install -U insightface`
 
 For insightface pip-package <= 0.1.5, we use MXNet as inference backend, please download all models from [onedrive](https://1drv.ms/u/s!AswpsDO2toNKrUy0VktHTWgIQ0bn?e=UEF7C4), and put them all under `~/.insightface/models/` directory.
 
-Starting from insightface>=0.2, we use onnxruntime as inference backend, please download our **antelope** model release from [onedrive](https://1drv.ms/u/s!AswpsDO2toNKrU0ydGgDkrHPdJ3m?e=iVgZox), and put it under `~/.insightface/models/`, so there're onnx models at `~/.insightface/models/antelope/*.onnx`.
+Starting from insightface>=0.2, we use onnxruntime as inference backend.
 
-InsightFace-0.2 Model Pack:
+Please first download our **antelope** model release by command:
 
-| Name      | Detection Model  | Recognition Model  | Download |
+```
+insightface-cli model.download antelope
+```
+
+Model Pack:
+
+| Name      | Detection Model  | Recognition Model  | Alignment |
 | ----------------------- | -----------------   | ----- | ----- |
-| **antelope** | SCRFD-10GF        | ResNet100@Glint360K | [link](https://1drv.ms/u/s!AswpsDO2toNKrU0ydGgDkrHPdJ3m?e=iVgZox) |
+| **antelope** | SCRFD-10GF        | ResNet100@Glint360K | 2d106 & 3d68 |