Hello, I have a question regarding the ML Kit. I trained a model using sklearn, converted it to ONNX in Python, and imported it into Mendix. Now, I have a float_input ranging from -1 to 13, which is in mendix an entity with a string. However, I don't understand two things: How should I provide input to the model? Specifically, the model is porbably to stupid to parse into 13 inputs when i give it a string? How can I use 13 attributes instead of a tensor with 13 inputs, as described in the documentation for BERT?