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shadow-cann/hispark-modelzoo-squeezenet1-1

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Model Card

SqueezeNet1_1

Squeezenet的设计采用了卷积替换、减少卷积通道数和降采样操作后置等策略,旨在在不大幅降低模型精度的前提下,最大程度的提高运算速度。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-squeezenet1-1
  • Portal model id: j3m99qggso00
  • Created at: 2026-03-16 19:24:13
  • Updated at: 2026-03-26 09:35:38
  • 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: 224x224
  • 参数量: 1.235M
  • 计算量: 0.715GFLOPs

Files In This Repo

  • squeezenet.om (编译模型 / A8W8 / A8W8)
  • squeezenetFP16Hi3403V100-NNN.om (编译模型 / FP16 / FP16)
  • squeezenet1_1-f364aa15.pth (源模型 / 源模型下载)
  • squeezenet.onnx (源模型 / 源模型下载)
  • SVPNNNPC_V1.0.6.0.tgz (工具链 / 工具链)
  • squeezenet_om-A8W8.om (编译模型 / 镜像补充 / A8W8)

Upstream Links

  • Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=j3m99qggso00
  • Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/built-in/classification/SqueezeNet1_1
  • License reference: https://github.com/pytorch/vision/blob/v0.14.0/LICENSE

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: 1700942720335875_sq.png