Connect SMS.to and HuggingFace to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Contact
Triggers when a new contact is created in a list.
New Message Sent
Triggers when a new message is sent using SMS.to.
Do thisActions
Action is the task that follows automatically within your SMS.to integrations.
Estimate Single SMS
Estimate a Single SMS
Create a Contact
Add a new contact in SMS.to
Send Single SMS
Send SMS to a phone number.
Get Recent Optouts
Get optouts detail that were opted out in last 1hr.
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 SMS.to and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in SMS.to triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how SMS.to 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 SMS.to 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 SMS.to 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 SMS.to
SMS.To is a powerful platform for sending and receiving SMS messages, enabling businesses to communicate effectively with their customers through text messaging.
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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