Hi @darsac , Currently I’m using a CNN architecture-based model for my project. It’s basically similar to mnist model. so also for that, I had to turn the image into tensors. I used the OpenCV plugin to get pixelated data and Flatten it to the required tensor shape. You could feed any data type if your model supports it. For NLP or text input-based models, I hope you will need to tokenize them as your tensor shape fits into the model.
Finally, if your data is preprocessed and ready, you can easily change the Input Tensor array and get predicted value from Output Tensor array