Upload efficientnet-lite4 ONNX model

README.md

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+---
+library_name: onnx
+tags:
+  - efficientnet
+  - image-classification
+  - imagenet
+  - computer-vision
+  - onnx
+  - inference4j
+license: apache-2.0
+pipeline_tag: image-classification
+---
+
+# EfficientNet-Lite4 — ONNX
+
+ONNX export of [EfficientNet-Lite4](https://huggingface.co/onnx/EfficientNet-Lite4), a lightweight and efficient image classification model optimized for mobile/edge deployment. Trained on ImageNet 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](https://huggingface.co/onnx/EfficientNet-Lite4)
+- **License:** apache-2.0
+
+## Usage with inference4j
+
+```java
+try (EfficientNet model = EfficientNet.fromPretrained("models/efficientnet-lite4")) {
+    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 | EfficientNet-Lite4 (compound-scaled CNN) |
+| Task | Image classification (ImageNet 1000 classes) |
+| Input | `[batch, 224, 224, 3]` — RGB, pixel values 0-255 |
+| Output | `[batch, 1000]` — class probabilities |
+| ONNX opset | 11 |
+| Original framework | TensorFlow Lite → ONNX |
+
+## License
+
+This model is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). Original model from [ONNX](https://huggingface.co/onnx).

model.onnx

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