Machine Model to Production level using HuggingFace Models or NLP

[kirah2128]

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.

[Anonymous]

Hi @kirah2128 ,

Thanks for using Fabric Community.

According to your project can you please check these docs?
Tutorial: Train and register machine learning models - Microsoft Fabric | Microsoft Learn
AutoML in Fabric - Microsoft Fabric | Microsoft Learn

Hope this is helpful. Please do let me know incase of further queries.

[Anonymous]

Hi @kirah2128 ,

We haven’t heard from you on the last response and was just checking back to see if your query was answered.
Otherwise, will respond back with the more details and we will try to help .

Thanks

[Anonymous]

Hi @kirah2128 ,

We haven’t heard from you on the last response and was just checking back to see if your query was answered.
Otherwise, will respond back with the more details and we will try to help .

Thanks