Connect Smsmobileapi 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 SMS Received
Triggers when a new SMS has been received.
New SMS/WhatsApp Sent
Triggers when a new SMS/WhatsApp has been sent.
Do thisActions
Action is the task that follows automatically within your Smsmobileapi integrations.
Send SMS
Sends an SMS to a recipient.
Get Missed Call
List missed calls from your mobile using SMS Mobile API.
Send WhatsApp SMS
Send a WhatsApp SMS to a recipient.
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 Smsmobileapi and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Smsmobileapi triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Smsmobileapi 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 Smsmobileapi 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 Smsmobileapi 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 Smsmobileapi
Smsmobileapi offers robust SMS solutions for businesses, enabling seamless communication through text messaging. Ideal for marketing campaigns, customer notifications, and more.
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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