Connect Un-static and HuggingFace to Build Intelligent Automations
Ready to use Un-static and HuggingFace automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Form
Triggers when a new form is created.
Do thisActions
Action is the task that follows automatically within your Un-static integrations.
List Forms
List all forms in your account.
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 Un-static and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Un-static triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Un-static 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 Un-static 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 Un-static 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 Un-static
Un-static is a dynamic platform designed to revolutionize the way you manage and interact with your digital content. With a focus on flexibility and innovation, Un-static offers tools to enhance your content creation and management processes, making it easier to adapt to changing needs and trends.
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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