Connect PayHere and HuggingFace to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Payment Received
Triggers when a payment is received.
Subscription Cancelled
Triggers when a user has cancelled their subscription, or Stripe has marked it as cancelled due to payment failures.
Do thisActions
Action is the task that follows automatically within your PayHere integrations.
Create a Plan
Creates a new payment plan
Update Current Company
Update the company information for currently authenticated user.
Issue a refund
Issue a refund a customer the amount specified, can be a partial refund.
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.
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Frequently Asked Questions
To start, connect both your PayHere and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in PayHere triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how PayHere 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 PayHere 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 PayHere 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 PayHere
PayHere is a comprehensive online payment gateway service that facilitates seamless and secure transactions for businesses and individuals in Sri Lanka. It supports multiple payment methods, including credit cards, mobile payments, and bank transfers, making it easier for users to manage their financial transactions online.
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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