Connect workast and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
New Task Created
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 Task Created
Triggers when a new task is created in your Workast account.
Do thisActions
Action is the task that follows automatically within your workast integrations.
Create a Task
create a task in workast app.
Create a Space
create a new space in workast.
Creates a Subtask
Creates a new subtask on a task.
Update Space
Update an existing space.
Create a Tag
Create a new tag
Add Tag
Add a tag to a task
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Frequently Asked Questions
To start, connect both your workast and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in workast triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how workast 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 workast 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 workast 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 workast
Workast is a productivity tool that helps teams capture tasks, manage projects and collaborate to get more work done.
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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