This document contains the current restrictions and usage quotas on use of AutoML Natural Language. This page will be updated to reflect any changes to these restrictions and usage quotas.
These quotas apply to each AutoML Natural Language project, and are shared across all applications and IP addresses using a given project.
You can edit your quotas up to their maximum values by selecting EDIT QUOTAS from the Quotas page of the Google Cloud Platform Dashboard. Edit the quotas for the Cloud AutoML API. To request an increase above the maximum quota, edit your quota with your requested increase and justification then submit your update. You will be notified when your request has been received. You might be contacted for more information regarding your request. After your request has been reviewed, you will be notified whether it has been approved or denied.
AutoML Natural Language has quotas associated with creating models and with making prediction requests to the models.
|Model creation requests per minute||10|
|Concurrent model training requests||5|
These quotas apply collectively to all deployed models.
|Prediction requests per minute per project||600|
|Non-prediction requests per minute per project||600|
Character counts assume UTF-8 characters.
|Type of limit||Classification||Entity extraction||Sentiment analysis|
|Training items||10 to 1,000,000||50 to 100,000||10 to 100,000|
|Labels per dataset||2 to 5,000||1 to 100||2 to 11|
|Length of label name||1 to 32||1 to 32||Integer from 0 to 10|
|Length of annotated span||N/A||1 to 100 characters||N/A|
|Training items per label||10 to 1,000,000||100 to 100,000||10 to 100,000|
|Training item size||10MB
|128K (text); 20MB (PDF)
10 to 300,000 characters (text)
|128K (text); 2MB (PDF)
|Item sent for prediction||128K (text); 2MB (PDF)
|2MB||128K (text); 2MB (PDF)
|Items per batch request||10,000||10,000||10,000|