ONNX 模型库
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