Connect Featurebase and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
New Post
Choose an Action
Automatically do this!
Text Classification
Language Translation
Ready to use Featurebase and HuggingFace automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Post
Triggers when a new post is created on your feedback board.
Do thisActions
Action is the task that follows automatically within your Featurebase integrations.
Create Post
Create a post in feature base
Change Post Status
Changes a posts status.
Upvote Post
Adds an upvoter to a post.
Text Classification
Use any compatible model from the Hugging Face to classify input text using a ML model.
Language Translation
Use a compatible model from the Hugging Face Hub to translate text from one language to another.
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Frequently Asked Questions
To start, connect both your Featurebase and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Featurebase triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Featurebase 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 Featurebase 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 Featurebase 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 Featurebase
Featurebase is a feedback management tool that helps you prioritize user feedback and make correct product decisions.
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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