Connect Signaturely and HuggingFace to Build Intelligent Automations
Enable Integrations or automations with these events of Signaturely and HuggingFace
Enable Integrations or automations with these events of Signaturely and HuggingFace
Actions
Create Folder
This action creates a new folder.
Search Document
Search your documents.
Rename Document
This action rename the document.
Delete Document
This action deletes the document.
Create signing request
Create a signature request from a selected template with a title and optional message; supports test mode.
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 Signaturely and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Signaturely triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Signaturely 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 Signaturely 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 Signaturely 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 Signaturely
Signaturely offers an integration that enables you to create documents from templates or trigger actions such as sending or completing documents automatically. Streamline your workflow and save time with Signaturely's efficient integration.
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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