shadow-cann/hispark-modelzoo-squeezenet1-1

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-A8W8.om (编译模型 / A8W8)
• squeezenet.om (编译模型 / FP16; 编译模型 / OM 元数据 / A8W8)
• squeezenet1_1-f364aa15.pth (源模型 / 源模型下载; 源模型 / 源模型元数据)
• squeezenet.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
• SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)

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