Connect AlterEstate and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for AlterEstate
Choose an Action
Automatically do this!
Text Classification
Language Translation
Enable Integrations or automations with these events of AlterEstate and HuggingFace
Enable Integrations or automations with these events of AlterEstate and HuggingFace
Actions
List All Agents
Retrieves the list of all agents in the company
List Properties
List All Properties
List Buildings
List all Buildings.
List Cities
Retrieve a list of cities by country.
List Sectors
Retrieve a list of sectors
Text Classification
Use any compatible model from the Hugging Face to classify input text using a ML model.
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Frequently Asked Questions
To start, connect both your AlterEstate and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in AlterEstate triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how AlterEstate 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 AlterEstate 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 AlterEstate 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 AlterEstate
AlterEstate is a software for Real Estate Agencies to help them connect and build strong relationships with their clients.
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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