---
license: mit
tags:
- onnx
- onnxruntime
- image-classification  # or text-classification, object-detection, ner, etc.
- your-custom-tag
---

# 🧠 Model Name

This is an ONNX model for **[task]**, trained/fine-tuned using [framework/training pipeline].

## 🚀 Model Details

- **Task**: Image Classification
- **Model Format**: ONNX
- **Input Shape**: (1, 3, 224, 224)
- **Output Shape**: (1, 1000)
- **Framework**: ONNX Runtime
- **Model Size**: ~XX MB

## 📥 Inputs

- `input`: A tensor of shape `(1, 3, 224, 224)`
  - Typically a preprocessed image (RGB, normalized).

## 📤 Outputs

- `output`: A tensor of shape `(1, 1000)`
  - Softmax scores for 1000 classes (or class logits).

## 🏷️ Labels

```json
["class_0", "class_1", "class_2", "..."]