Initial upload EfficientNetV2 model

.gitignore

@@ -1 +1,6 @@
 n1_*.bin
+
+# 确保所有 Git 相关文件不会被提交
+.git*
+!.gitattributes
+!.gitignore

README.md

@@ -0,0 +1,27 @@
+---
+library_name: pytorch
+---
+
+![EfficientNetV2_logo](resource/EfficientNetV2.png)
+
+EfficientNetV2 proposes improved scaling rules and training-aware architectural optimizations, including fused-MBConv blocks, to achieve faster training and better accuracy–efficiency trade-offs than prior EfficientNet models.
+
+Original paper: [EfficientNetV2: Smaller Models and Faster Training](https://arxiv.org/abs/2104.00298)
+
+# EfficientNetV2-S
+
+This model uses the EfficientNetV2-S variant, a compact configuration that balances accuracy, inference latency, and training speed. It is well suited for production image classification and as a backbone in vision pipelines where fast convergence and efficient deployment are important.
+
+Model Configuration:
+- Reference implementation: [torchvision.models.efficientnet_v2_s](https://pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_v2_s.html)
+- Original Weight: [EfficientNet_V2_S_Weights.IMAGENET1K_V1](https://download.pytorch.org/models/efficientnet_v2_s-dd5fe13b.pth)
+- Resolution: 3x384x384
+- Support Cooper version:
+    - Cooper SDK: [2.5.2]
+    - Cooper Foundry: [2.2]
+
+| Model | Device | Model Link |
+| :-----: | :-----: | :-----: |
+| EfficientNetV2 | N1-655 | [Model_Link](https://huggingface.co/Ambarella/EfficientNetV2/blob/main/n1-655_efficientnet_v2_s.bin) |
+| EfficientNetV2 | CV72 | [Model_Link](https://huggingface.co/Ambarella/EfficientNetV2/blob/main/cv72_efficientnet_v2_s.bin) |
+| EfficientNetV2 | CV75 | [Model_Link](https://huggingface.co/Ambarella/EfficientNetV2/blob/main/cv75_efficientnet_v2_s.bin) |