Connect Adafruit IO and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
New Feed Data
New Feed
New Group
Choose an Action
Automatically do this!
Text Classification
Language Translation
Ready to use Adafruit IO and HuggingFace automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Feed Data
Check if a new data is created in a feed.
New Feed
Check if a new feed is created.
New Group
Check if a new group is created.
Do thisActions
Action is the task that follows automatically within your Adafruit IO integrations.
Create a Group
Creates a new group.
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.
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Frequently Asked Questions
To start, connect both your Adafruit IO and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Adafruit IO triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Adafruit IO 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 Adafruit IO 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 Adafruit IO 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 Adafruit IO
Adafruit IO is a platform for logging, streaming, and interacting with data.
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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