Connect Cognito Forms and HuggingFace to Build Intelligent Automations
Enable Integrations or automations with these events of Cognito Forms and HuggingFace
Enable Integrations or automations with these events of Cognito Forms and HuggingFace
Actions
List forms
Get a list of all forms in your Cognito Forms account.
Create form entry
Create a new submission in the selected Cognito Form to save the respondent's details.
Delete entry
Delete an entry from Cognito Forms.
Get Document
Retrieve the document created from a Cognito Forms entry so you can save or share it.
Get form entry
Retrieve a single entry from a Cognito form to view its submitted responses.
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 Cognito Forms and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Cognito Forms triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Cognito Forms 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 Cognito Forms 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 Cognito Forms 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 Cognito Forms
Cognito Forms is an easy-to-use form builder that allows users to quickly build a form, include it on their website, and start capturing entries without having to do any development.
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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