AutomML text extraction deployed models per region quota error

[HealthMantra]

AutomML text extraction deployed models per region quota shows exceeded even though i dont have any deployed model.

Have migrated my model(it didnd had deployed end point at that moment) from personal account to company account. There are no deployed models in the company account, and when trying to deploy it, the error is shown as quota exceeded.

Have tried increasing the quota, but its not allowing to increase beyond 1, asks to join sales team. Not sure if this is impact of deprecation of Text models in AutoML.

[dawnberdan]

Hi @HealthMantra,

Welcome to Google Cloud Community!

It looks like you're dealing with an issue with AutoML Text Extraction models and quotas after moving your model from a personal account to a company account. Here's a simple breakdown of the situation and some steps you can take to fix it.

1. Quota Issue: Resources may not reset properly in the new account during model migration. To fix this, check the new account for any old deployments or configurations that might have been left over from the migration process.

2. Deprecation of AutoML Text Models: According to this Release Note, you can only customize objectives like classification, entity extraction, and sentiment analysis by transitioning to Vertex AI Gemini prompts and tuning. For more details on how Gemini enhances the user experience with improved prompting capabilities, refer to this document. 

If the issue persists, consider migrating to other model training and deployment in Vertex AI or other available services for better scalability and updated support.

I hope the above information is helpful.