
When this happens...
New Outbound Template

Automatically do this!
Text Classification
Language Translation
When this happensTriggers
A trigger is an event that starts a workflow.
Triggered when a new outbound template is created in Yellow.ai.
Action is the task that follows automatically within your Yellow.ai integrations.
Creates a new user in the Yellow.ai platform.
Get all active Outbound templates associated with a specified bot ID.
Use any compatible model from the Hugging Face to classify input text using a ML model.
Use a compatible model from the Hugging Face Hub to translate text from one language to another.

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To start, connect both your Yellow.ai and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Yellow.ai triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Yellow.ai 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 Yellow.ai 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 Yellow.ai 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.
Yellow.ai is a leading AI-powered platform that specializes in automating customer interactions across various channels. It leverages advanced artificial intelligence to provide seamless and personalized customer experiences, enhancing engagement and satisfaction. The platform is designed to cater to businesses looking to optimize their customer support, marketing, and sales processes through intelligent automation.
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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