
When this happens...
New Document

Automatically do this!
Text Classification
Language Translation
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a new document is created.
Action is the task that follows automatically within your Google Docs integrations.
create a new document with text.
Append text to an existing document.
Upload a document using a file URL.
Creates a new doc based on an existing one and can replace any placeholder variables found in your template doc, like {{name}}, {{email}}, etc.
Get content of document by its id.
Use any compatible model from the Hugging Face to classify input text using a ML model.

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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 Google Docs and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Docs triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Google Docs 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 Google Docs 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 Google Docs 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.
Google Docs is an online word processor that lets you create and format text documents. Collaboratively edit documents with other people in real time. We also support Google Sheets!
Learn MoreHugging 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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