I'm running a local instance of Azure Document Intelligence (Form Recognizer) Container. Accessing the local URL (http://localhost:5001), I'm able to open the Form Recognizer studio and select a custom model. So, I can see this screen:
![User's image](https://learn-attachment.microsoft.com/api/attachments/9e565f52-c3ed-40f4-a99e-b9ec525e3a39?platform=QnA)
After that, I can label my files. When I'm ready to trigger the train, just the "template" Build Mode option is available. I can train using it, but my main goal is to run the neural one.
![User's image](https://learn-attachment.microsoft.com/api/attachments/f3000369-90dc-4a41-828b-3327beb42d88?platform=QnA)
Reading the documentation it is possible to see that the version should be 3.0.
All my images defined in the docker-compose.yml are set to 3.0 (layout, custom-template, and studio). I also checked the build request, it was set for the "2022-08-31" API version.
The Region could also be an issue, but I checked the Region of my resource, and it seems to be compatible with the neural Build Mode.
![User's image](https://learn-attachment.microsoft.com/api/attachments/81f167fa-8c43-47a3-ac18-8d72fcad9550?platform=QnA)
Does anyone know if it is possible to train the custom neural extraction model using the local container? What do you think I should do to make it work?