
When this happens...

Automatically do this!
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Language Translation
Enable Integrations or automations with these events of Turso and HuggingFace
Lists all an existing Databases.
Creates a new Database.
Deletes a specified database
List all instance by database name.
Update a database configuration belonging to the organization or user.
List all an existing groups.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Turso and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Turso triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Turso 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 Turso 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 Turso 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.
Turso is a cutting-edge platform designed to revolutionize the way developers interact with databases. It offers a seamless and efficient experience for managing, querying, and scaling databases, making it an essential tool for modern software development. With Turso, developers can focus on building applications without worrying about the complexities of database management.
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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