Upload resnet50-v1-7 ONNX model

README.md

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+---
+library_name: onnx
+tags:
+  - resnet
+  - image-classification
+  - imagenet
+  - computer-vision
+  - onnx
+  - inference4j
+license: mit
+pipeline_tag: image-classification
+---
+
+# ResNet-50 v1.7 — ONNX
+
+ONNX export of [ResNet-50](https://huggingface.co/onnxmodelzoo/resnet50-v1-7), a deep residual network for image classification trained on ImageNet. 50-layer variant with 1000-class output.
+
+Mirrored for use with [inference4j](https://github.com/inference4j/inference4j), an inference-only AI library for Java.
+
+## Original Source
+
+- **Repository:** [ONNX Model Zoo](https://huggingface.co/onnxmodelzoo/resnet50-v1-7)
+- **License:** mit
+
+## Usage with inference4j
+
+```java
+try (ResNet model = ResNet.fromPretrained("models/resnet50")) {
+    List<Classification> results = model.classify(Path.of("cat.jpg"));
+    results.forEach(c -> System.out.printf("%s: %.2f%%%n", c.label(), c.score() * 100));
+}
+```
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Architecture | ResNet-50 (50 layers, residual connections) |
+| Task | Image classification (ImageNet 1000 classes) |
+| Input | `[batch, 3, 224, 224]` — RGB, ImageNet-normalized |
+| Output | `[batch, 1000]` — class probabilities |
+| Original framework | ONNX Model Zoo |
+
+## License
+
+This model is licensed under the [MIT License](https://opensource.org/licenses/MIT). Original model from the [ONNX Model Zoo](https://github.com/onnx/models).

model.onnx

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