Deep Java Library (DJL)

https://github.com/awslabs/djl#getting-started

// Assume user uses a pre-trained model from model zoo, they just need to load it
    Map<String, String> criteria = new HashMap<>();
    criteria.put("layers", "18");
    criteria.put("flavor", "v1");

    // Load pre-trained model from model zoo
    try (Model<BufferedImage, Classifications> model = MxModelZoo.RESNET.loadModel(criteria)) {
        try (Predictor<BufferedImage, Classifications> predictor = model.newPredictor()) {
            BufferedImage img = readImage(); // read image
            Classifications result = predictor.predict(img);

            // get the classification and probability
            ...
        }
    }
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