Machine Model to Production level using HuggingFace Models or NLP

Hi,

Is there anyone able to successfully complete the machine learning model up to the level of deploying the model to production?

What I don't understand is how we can have a streamlined process. We have our trained model that predicts 0 and 1 values for whether the data is valid or not. Currently, we have a process where we need to go through each item to check its validity. Therefore, I want to have a list of valid data every month. However, I can't find any simple tutorials to understand how to do this.

To explain in detail, we have new data coming into a different table, and I want to pass this data to the model to get the predicted results. Once we have the predictions, I would like to extract the valid data into an Excel file, for example.