EfficientNetV2

EfficientNetV2是一系列图像分类模型,与现有技术相比,其实现了更好的参数效率和更快的训练速度。基于EfficientNetV1,Efficient NetV2模型使用神经架构搜索(NAS)来联合优化模型大小和训练速度,并以更快的训练和推理速度进行扩展。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-efficientnetv2
  • Portal model id: ko3p9r40j400
  • Created at: 2026-08-26 16:15:43
  • Updated at: 2026-09-01 16:13:06
  • Category: 计算机视觉

Framework

  • PyTorch

Supported OS

  • OpenHarmony
  • Linux

Computing Power

  • Hi3403V100 SVP_NNN
  • Hi3403V100 NNN

Tags

  • 分类

Detail Parameters

  • 输入: 288x288
  • 参数量: 25.530M
  • 计算量: 8.235GFLOPs

Files In This Repo

  • efficientnetv2.om (编译模型 / A8W8 / A8W8)
  • efficientnetv2_FP16_Hi3403V100-NNN.om (编译模型 / FP16 / FP16)
  • efficientnetv2.onnx (源模型 / 源模型下载)
  • efficientnetv2_t_agc-3620981a.pth (源模型 / 源模型下载)
  • SVP_NNN_PC_V1.0.6.0.tgz (工具链 / 工具链)

Upstream Links

Notes

  • This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
  • File ownership follows the portal card mapping, not just filename similarity.
  • Cover image: 1700943102148611_eff.png
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support