Enable Integrations or automations with these events of myphoner and HuggingFace
Create a new lead in the selected Myphoner list with contact and profile details.
Mark a selected Myphoner lead as a winner. Optionally add an internal comment, assign a category, schedule a callback, or set a follow-up date.
Mark a Myphoner lead as lost and optionally add a comment, schedule a callback, set a callback delay, or assign a category.
Mark a Myphoner lead for a callback — set a delay or exact date/time and add an optional comment and category.
Searches a Myphoner list for a lead by full name and optionally creates the lead if none is found.
Use any compatible model from the Hugging Face to classify input text using a ML model.
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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 myphoner and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in myphoner triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how myphoner 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 myphoner 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 myphoner 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.
Myphoner is a cold calling tool used for lead management and lead tracking, with the focus of creating a superior workflow for the sales agent.
Learn MoreHugging 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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