Connect HuggingFace and TeamWave to Build Intelligent Automations

Choose a Trigger

HuggingFace

When this happens...

Choose an Action

TeamWave

Automatically do this!

Enable Integrations or automations with these events of HuggingFace and TeamWave

Enable Integrations or automations with these events of HuggingFace and TeamWave

Actions

Text Classification

Text Classification

Use any compatible model from the Hugging Face to classify input text using a ML model.

Language Translation

Language Translation

Use a compatible model from the Hugging Face Hub to translate text from one language to another.

Create Task

Create Task

Creates a new task

List Project Timelog

List Project Timelog

List all project timelogs.

List Project Share

List Project Share

List all project shares.

Get Project Settings

Get Project Settings

List all project settings.

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Frequently Asked Questions

How do I start an integration between HuggingFace and TeamWave?

To start, connect both your HuggingFace and TeamWave accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in TeamWave (or vice versa).

Can we customize how data from HuggingFace is recorded in TeamWave?

Absolutely. You can customize how HuggingFace data is recorded in TeamWave. This includes choosing which data fields go into which fields of TeamWave, setting up custom formats, and filtering out unwanted information.

How often does the data sync between HuggingFace and TeamWave?

The data sync between HuggingFace and TeamWave typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from HuggingFace to TeamWave?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between HuggingFace and TeamWave?

Yes, you can set conditional logic to control the flow of data between HuggingFace and TeamWave. 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.

HuggingFace

About 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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TeamWave

About TeamWave

TeamWave is a comprehensive business productivity platform that integrates project management, CRM, and HR tools to streamline your business operations. It offers a unified solution to manage projects, track sales, and handle employee data efficiently.

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