
When this happens...

Automatically do this!
Create Task
Create Project
Create Customer
Modify Time-Track
Find Customer
Find Project
Find Task
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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new task created.
Triggers when an existing task updated.
Triggers when an existing task deleted.
Triggers when a new project created.
Triggers when an existing poject update.
Triggers when an existing poject delete.
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.
Create a new task in actiTIME for a selected project, with optional description, deadline, estimate, and type of work.
Creates a new project in actiTIME for a selected customer, with an optional description.
Create a new customer in actiTIME using the provided name and optional description.
Replace a user's tracked time for a specific task on a given date and optionally save a comment.

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