Add pipeline tag and library name to model card

README.md

@@ -1,18 +1,18 @@
 ---
-license: mit
-
 datasets:
 - ILSVRC/imagenet-1k
 - phiyodr/coco2017
 - 1aurent/ADE20K
 language:
 - en
+license: mit
 metrics:
 - accuracy
 - mean_iou
+pipeline_tag: image-classification
+library_name: transformers
 ---
 
-
 # Quantized Spike-driven Transformer ([ICLR25](https://arxiv.org/abs/2501.13492))
 
 [Xuerui Qiu](https://scholar.google.com/citations?user=bMwW4e8AAAAJ&hl=zh-CN), [Malu Zhang](), [Jieyuan Zhang](https://www.ericzhuestc.site/), [Wenjie Wei](), [Honglin Cao](), [Junsheng Guo](), [Rui-Jie Zhu](https://scholar.google.com/citations?user=08ITzJsAAAAJ&hl=zh-CN),[Yimeng Shan](),[Yang Yang](),  [Haizhou Li](https://www.colips.org/~eleliha/)
@@ -25,6 +25,7 @@ Institute of Automation, Chinese Academy of Sciences
 
 :rocket:  :rocket:  :rocket: **News**:
 
+- **Feb. 24, 2025**: Checkpoint is available at [Huggingface](https://huggingface.co/Xuerui123/QSD_Transformer).
 - **Jan. 24, 2025**: Release the code for training and testing.
 
 ## Abstract
@@ -50,9 +51,11 @@ If you find this repository useful, please consider giving a star ⭐ and citati
 }
 ```
 
+Code: https://github.com/bollossom/QSD-Transformer
+
 For help or issues using this git, please submit a GitHub issue.
 
 For other communications related to this git, please contact  `qiuxuerui2024@ia.ac.cn`.
 
 ## Acknowledgement
-The object detection and semantic segmentation parts are based on [MMDetection](https://github.com/open-mmlab/mmdetection) and [MMSegmentation](https://github.com/open-mmlab/mmsegmentation) respectively. Thanks for their wonderful work.
+The object detection and semantic segmentation parts are based on [MMDetection](https://github.com/open-mmlab/mmdetection) and [MMSegmentation](https://github.com/open-mmlab/mmsegmentation) respectively. Thanks for their wonderful work.