trial_onnx_1.ts

import * as ort from 'onnxruntime-node';

// use an async context to call onnxruntime functions.
async function main() {

    ort.InferenceSession
    const session = await ort.InferenceSession.create('./model4.onnx');

    // prepare feeds. use model input names as keys.
    const feeds = {
        float32_input: new ort.Tensor('float32', new Array<number>(221).fill(1), [1, 221]),
    };
    const model_outputs = await session.run(feeds);
    let probabilityAccept = Number(model_outputs['probabilities']['data'][1]);

    console.log(probabilityAccept);
}

main();

Standalone TS file works fine. We get the correct scores as output of the model