Connect HuggingFace and Tidyhire to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for HuggingFace
Choose an Action
Automatically do this!
Get Project Detail
Get Candidate Detail
Get all Candidate by Project Id
Create New Project
Change Candidate Stage Bulk
Ready to use HuggingFace and Tidyhire automations
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
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- Send for Approval acceptCreate Entry of expensesAdd Step
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- has responseSendDMMessageAdd Step
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Candidate
Trigger when new candidate is added in project .
Do thisActions
Action is the task that follows automatically within your HuggingFace integrations.
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.
Get Project Detail
Get Project Detail
Get Candidate Detail
Get Candidate Detail
Get all Candidate by Project Id
Get all Candidate by Project Id
Create New Project
Create New Project
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Frequently Asked Questions
To start, connect both your HuggingFace and Tidyhire accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in Tidyhire (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in Tidyhire. This includes choosing which data fields go into which fields of Tidyhire, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and Tidyhire 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 Tidyhire. 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 Tidyhire
Tidyhire is a comprehensive platform designed to streamline the recruitment process, making it easier for businesses to find and hire the right talent. It offers tools for job posting, candidate tracking, and communication, ensuring a smooth and efficient hiring experience.
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