Update README.md

README.md

@@ -16,8 +16,6 @@ size_categories:
 This repository consolidates the collection of backbone networks for pre-trained computer vision models available on the PyTorch official website. It mainly includes various Convolutional Neural Networks (CNNs) and Vision Transformer models pre-trained on the ImageNet1K dataset. The entire collection is divided into two subsets, V1 and V2, encompassing multiple classic and advanced versions of visual models. These pre-trained backbone networks provide users with a robust foundation for transfer learning in tasks such as image recognition, object detection, and image segmentation. Simultaneously, it offers a convenient choice for researchers and practitioners to flexibly apply these pre-trained models in different scenarios.
 
 ## Viewer
-<https://huggingface.co/spaces/monetjoe/cv-backbones>
-### Data Fields
 |      ver      |     type      |    input_size    |                url                |
 | :-----------: | :-----------: | :--------------: | :-------------------------------: |
 | backbone name | backbone type | input image size | url of pretrained model .pth file |
@@ -25,9 +23,11 @@ This repository consolidates the collection of backbone networks for pre-trained
 ## Maintenance
 ```bash
 git clone git@hf.co:datasets/monetjoe/cv_backbones
+cd cv_backbones
 ```
 
 ## Usage
+### ImageNet V1
 ```python
 from datasets import load_dataset
 
@@ -36,6 +36,15 @@ for weights in backbones:
     print(weights)
 ```
 
+### ImageNet V2
+```python
+from datasets import load_dataset
+
+backbones = load_dataset("monetjoe/cv_backbones", name="default", split="test")
+for weights in backbones:
+    print(weights)
+```
+
 ## Param counts of different backbones
 ### IMAGENET1K_V1
 |      Backbone      | Params(M) |