Connect Mitto and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Mitto
Choose an Action
Automatically do this!
Text Classification
Language Translation
Enable Integrations or automations with these events of Mitto and HuggingFace
Enable Integrations or automations with these events of Mitto and HuggingFace
Actions
Send SMS in Bulk
Enables you to send same SMS to several receivers.
Send an SMS
Enables you to send an SMS to a single 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 Mitto and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Mitto triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Mitto 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 Mitto 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 Mitto 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 Mitto
The Mitto integration enables apps to send enterprise grade SMS. Use it to send alerts, reminders, invites, marketing messages or any other kind of short message. We provide you a fast and reliable service which also brings you high conversion rates!
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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