Extracting the prediction Result from the OnnxTensor

Problem

How do I extract the prediction probability values from the result OnnxTensor after we use session.run() in Java?

Question

I am taking a string as in input from the Command Line.
I already have a ML model saved in the onnx format and I'm only performing inference in Java. It is a Vectorizer + RandomForest pipeline.

I'm converting the string to a String[][] array and storing it as an onnxtensor. Next I'm putting the onnxtensor with the input column name in a HashMap<String, OnnxTensor>()

OrtSession.Result results = session.run(Collections.singletonMap(inputMeta.getName(), inputTensor))

The results is as follows:

OnnxTensor(info=TensorInfo(javaType=INT64,onnxType=ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64,shape=[1]))
OnnxSequence(info=SequenceInfo(length=1,type=MapInfo(size=2,keyType=INT64,valueType=FLOAT)))

How do I extract the prediction probabilities from this object ?

Also I'm not sure if I'm doing the whole thing right, so any suggestions would be really helpful.

Thanks

Start with the Java session.run entry point and the reported OnnxTensor and OnnxSequence result types. Determine how the returned sequence and map values are represented, then verify the extraction approach against the stated prediction-probability goal; done means the result structure and a working Java access path are documented.