
When this happens...

Automatically do this!
Create Comment
Add Comment Reaction
Delete Comment Reaction
Delete Comment
Enable Integrations or automations with these events of HuggingFace and Figma
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.
Create comment on a file.
Create a new comment reaction on a file comment.
Deletes a specific comment reaction.
Deletes a specific comment
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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 HuggingFace and Figma accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in Figma (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in Figma. This includes choosing which data fields go into which fields of Figma, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and Figma 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 HuggingFace and Figma. 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.
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.
Learn MoreFigma is a collaborative interface design tool that allows teams to create, prototype, and share designs seamlessly. It is widely used by designers and developers to work together in real-time, making the design process more efficient and effective.
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