Connect Teamtailor and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Teamtailor
Choose an Action
Automatically do this!
Text Classification
Language Translation
Enable Integrations or automations with these events of Teamtailor and HuggingFace
Enable Integrations or automations with these events of Teamtailor and HuggingFace
Actions
Create Note
Creates a new note on a candidate.
Update Candidate
Updates an already existing candidate.
Update Job
Updates an already existing candidate.
Find Candidate
Finds a candidate by email.
Create Job
Creates a New Job
Create Candidate
Create a new Candidate
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Frequently Asked Questions
To start, connect both your Teamtailor and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Teamtailor triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Teamtailor 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 Teamtailor 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 Teamtailor 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.
About Teamtailor
Teamtailor is a recruitment and employer branding ATS (Applicant Tracking System) designed to assist teams of all sizes to attract and hire talent efficiently and effectively. The platform integrates various capabilities such as job posting, applicant tracking, and candidate communication.
Learn MoreAbout 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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