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---
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license: mit
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tags:
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- onnx
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- onnxruntime
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- image-classification
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- your-custom-tag
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---
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# π§ Model Name
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This is an ONNX model for **[task]**, trained/fine-tuned using [framework/training pipeline].
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## π Model Details
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- **Task**: Image Classification
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- **Model Format**: ONNX
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- **Input Shape**: (1, 3, 224, 224)
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- **Output Shape**: (1, 1000)
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- **Framework**: ONNX Runtime
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- **Model Size**: ~XX MB
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## π₯ Inputs
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- `input`: A tensor of shape `(1, 3, 224, 224)`
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- Typically a preprocessed image (RGB, normalized).
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## π€ Outputs
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- `output`: A tensor of shape `(1, 1000)`
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- Softmax scores for 1000 classes (or class logits).
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## π·οΈ Labels
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```json
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["class_0", "class_1", "class_2", "..."]
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