返回模型
说明文档
---
datasets:
- timm/mini-imagenet
metrics:
- accuracy
tags:
- Classification
- arxiv:<2201.03545> # 2020年代的卷积网络
pipeline_tag: image-classification
Operators:
- Add: 12
- Conv2D: 40
- Flatten: 1
- Gemme: 1
- ReLu: 12
features:
- name: "ONNX 导入"
tested_in_CI: true
- name: "导出 CPP"
tested_in_CI: true
Source: PyTorch
Input:
- size:
- [N, 3, 300, 300]
- format: NCHW
- preprocessing:
- 调整大小
- 归一化
Output:
- size:
- [N*100]
---
EclipseAidge/ConvNeXt
作者 EclipseAidge
image-classification
↓ 0
♥ 0
创建时间: 2025-06-02 09:17:43+00:00
更新时间: 2025-11-03 09:59:56+00:00
在 Hugging Face 上查看文件 (4)
.gitattributes
ConvNeXt_Mini_ImageNet.onnx
ONNX
ConvNeXt_export.onnx
ONNX
README.md