
When this happens...

Automatically do this!
Create Card
Add Card Comment
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When this happensTriggers
A trigger is an event that starts a workflow.
Retrieves task cards created in the selected board column within the specified time window.
Action is the task that follows automatically within your HuggingFace integrations.
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.
Add a new card to a Drag board using title and column; optionally include note, comment, tag, assignee, and subtasks.
Add a comment to the card (found by title) in the selected board and column.

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To start, connect both your HuggingFace and DragApp accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in DragApp (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in DragApp. This includes choosing which data fields go into which fields of DragApp, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and DragApp 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 DragApp. 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 MoreDrag turns Gmail into a Team Workspace to manage Helpdesk, CRM, tasks and other workflows from your inbox. Built for Google Workspace users.
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