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---
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", "..."]
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