
When this happens...
Change Plan

Automatically do this!
Text Classification
Language Translation
When this happensTriggers
A trigger is an event that starts a workflow.
Tiggers when there is change in plan.
Action is the task that follows automatically within your Hotmart integrations.
Get all sales price.
Get all products.
Use any compatible model from the Hugging Face to classify input text using a ML model.
Use a compatible model from the Hugging Face Hub to translate text from one language to another.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Hotmart and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Hotmart triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Hotmart data is recorded in HuggingFace. This includes choosing which data fields go into which fields of HuggingFace, setting up custom formats, and filtering out unwanted information.
The data sync between Hotmart and HuggingFace typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Hotmart and HuggingFace. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Hotmart is a comprehensive platform designed for digital product creators and entrepreneurs to sell, manage, and promote their products online. It offers tools for payment processing, marketing, and analytics to help users grow their business.
Learn MoreHugging Face is a leading platform for natural language processing (NLP) and machine learning models. It provides a wide range of pre-trained models and tools to help developers and researchers build, train, and deploy state-of-the-art machine learning applications.
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