Connect HuggingFace and Gitbook to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for HuggingFace
Choose an Action
Automatically do this!
Create a site
Create collection
Create an organization invite
Create a space
Get the list of organizations
Get an organization by its ID
Create a share link
List all share links
List all teams
Create a team
Ready to use HuggingFace and Gitbook automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New spaces
Trigger when a new spaces is created.
New Team
Trigger when a new team is created.
New Share Link
Trigger when a new share link is created.
Do thisActions
Action is the task that follows automatically within your HuggingFace integrations.
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.
Create a site
Create a new site.
Create collection
Create a new collection.
Create an organization invite
Create an organization invite.
Create a space
Create a new in an organization space.
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Frequently Asked Questions
To start, connect both your HuggingFace and Gitbook accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in Gitbook (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in Gitbook. This includes choosing which data fields go into which fields of Gitbook, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and Gitbook 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 Gitbook. 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 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.
Learn MoreAbout Gitbook
Gitbook is a modern documentation platform where teams can document everything from products to internal knowledge bases. It provides a collaborative environment for creating, editing, and sharing content, making it ideal for teams looking to streamline their documentation process.
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