This app demonstrates the PyTorch Text Classification Neural Network trained in the Made With ML API Lesson. The model was trained with categorized news headlines.
The model returns a list of categories and the probability that the text is in the category.
Connect your model to data sources and destinations. A few of our integrations are below.
Source model input data from Amazon Redshift and write model inference results.
Update Mailchimp subscribers with model inference results.
Update Intercom companies and contacts with model inference results.
Source model input data from Snowflake and write model inference results.
Source model input data from Postgres and write model inference results.
Update Salesforce records with model inference results.