inference4j/efficientnet-lite4
By inference4j · ↓ 0 · ♥ 0 · Updated 2026-02-13
What's in this repo
This page lists the files in inference4j/efficientnet-lite4, including model.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .md, 1 .onnx
- Last updated 2026-02-13
ONNX files
| File | Size | Download |
|---|---|---|
| model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
EfficientNet-Lite4 — ONNX
ONNX export of 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, an inference-only AI library for Java.
Original Source
- Repository: ONNX
- License: apache-2.0
Usage with inference4j
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. Original model from ONNX.
Model info
Created: 2026-02-13
Updated: 2026-02-13
View on Hugging Face