| ---
|
| license: mit
|
| tags:
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| - onnx
|
| - onnxruntime
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| - image-classification
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| - your-custom-tag
|
| ---
|
|
|
| # 🧠 Model Name
|
|
|
| This is an ONNX model for **[task]**, trained/fine-tuned using [framework/training pipeline].
|
|
|
| ## 🚀 Model Details
|
|
|
| - **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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|
|
| ## 📥 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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|
|
| ## 📤 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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|
|
| ## 🏷️ Labels
|
|
|
| ```json
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| ["class_0", "class_1", "class_2", "..."]
|
| |
