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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers whenever a selected actor is run and finished.
Triggers whenever a selected task is run and finished.
Action is the task that follows automatically within your HuggingFace integrations.
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.
Run a selected actor task.
Creates a new or updates an existing record in a key-value store.
Runs a selected actor.
Finds the most recent actor run with a specific status.

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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 HuggingFace and Apify accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in Apify (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in Apify. This includes choosing which data fields go into which fields of Apify, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and Apify 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 HuggingFace and Apify. 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.
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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