Connect HuggingFace and Jobber to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for HuggingFace
Choose an Action
Automatically do this!
- Request a new Action for Jobber
Enable Integrations or automations with these events of HuggingFace and Jobber
Enable Integrations or automations with these events of HuggingFace and Jobber
Actions
Text Classification
Use any compatible model from the Hugging Face to classify input text using a ML model.
Language Translation
Use a compatible model from the Hugging Face Hub to translate text from one language to another.
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Automate Social Media Post Creation and Scheduling Across Multiple Platforms
- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
- YoutubeYoutube Video ScriptYoutube Description VideoCreate an Avatar VideoDelayRetrieve Shareable Link for a Video1Upload VideoAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
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Frequently Asked Questions
To start, connect both your HuggingFace and Jobber accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in Jobber (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in Jobber. This includes choosing which data fields go into which fields of Jobber, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and Jobber 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 Jobber. 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.
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.
Learn MoreAbout Jobber
Jobber is the command centre for home service businesses. Our easy-to-use app powers sales, operations, and customer service—all in one place.
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