Connect HuggingFace and RepairShopr to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for HuggingFace
Choose an Action
Automatically do this!
List Appointment Type
List All Custom Assets
List All Contacts
List All Customers
List All Estimates
List All Invoices
List All Items
List All Leads
List All Line Items
List All Ticket Forms
List All Payment method
List All Payments
List All Portal Users
List All Products
List All Purchase Orders
List All RMM Alerts
List All Invoice Schedules
List All Account Settings
Get Tab Settings
Get Printing Settings
List All Ticket Timers
List All Tickets
Get Ticket Settings
List All Timelogs
Get Last Timelog
Get Current User
List All User
List All Vendors
List All Wiki Pages
Enable Integrations or automations with these events of HuggingFace and RepairShopr
Enable Integrations or automations with these events of HuggingFace and RepairShopr
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.
List Appointment Type
Returns the list of appointment types
List All Custom Assets
Returns the list of all custom assets
List All Contacts
Returns the list of all contacts
List All Customers
Returns the list of all customers
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Frequently Asked Questions
To start, connect both your HuggingFace and RepairShopr accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in RepairShopr (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in RepairShopr. This includes choosing which data fields go into which fields of RepairShopr, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and RepairShopr 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 RepairShopr. 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 RepairShopr
RepairShopr is a platform to manage a service or repair business with job tracking (ticketing) and an emphasis on great communication.
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