
When this happens...

Automatically do this!
Create classroom
Create a course
Create Group
Create Professor
Create Student
Update Student
Update Professor
Update Group
Find Student
Find Professor
Find Group
Find Document
Find Document Template
Find Admin
Delete Document
Creates a new Admin
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When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a new student is created.
Triggers when you want to get all professors from the API.
Triggers when a new group is created.
Triggers when a user needs to get all courses from the API.
Triggers when you want to get all Admins in your school from the API.
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.
Create a new classroom.
Create a new course.
Creates a Group
Creates a Professor

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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 Edusign accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in Edusign (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in Edusign. This includes choosing which data fields go into which fields of Edusign, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and Edusign 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 Edusign. 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.
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