Connect Aha! and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
New Idea User
New Product
Choose an Action
Automatically do this!
Text Classification
Language Translation
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Idea User
Triggers when a new idea user is created in sceduled time.
New Product
Triggers when a new product is created in scheduled time.
Do thisActions
Action is the task that follows automatically within your Aha! integrations.
Create a Feature
Creates a new feature in Aha.
Create an Idea User
Create an idea user.
Create a product
Create a product.
Create a release
Create a release.
Create a Note
Create a note.
Text Classification
Use any compatible model from the Hugging Face to classify input text using a ML model.
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Frequently Asked Questions
To start, connect both your Aha! and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Aha! triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Aha! 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 Aha! 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 Aha! 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.
About Aha!
Aha! is a comprehensive product management software that helps teams set strategy, prioritize features, create visual roadmaps, and track progress.
Learn MoreAbout HuggingFace
Hugging 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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