
When this happens...

Automatically do this!
Create Customer
List Balances
Get balance
List balance transactions
List Customers
Search Customer
Update Customer
List Payments
Create Payment
Get Payment
List Payments Refund
List All Refunds
List Payment Method
List Invoices
List All Chargebacks
List Payment Links
List Orders
List All Subscription
List Profiles
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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new customer is created
Triggers when a new payment is created
Triggers when a new order is created
Triggers when a new payment chargeback is created
Triggers when a new refund is created
Triggers when a new settlement is created
Action is the task that follows automatically within your HuggingFace integrations.
Use any compatible model from the Hugging Face to classify input text using a ML model.
Use a compatible model from the Hugging Face Hub to translate text from one language to another.
Creates a new customer
Retrieve a list of the organization's balances, including the primary balance.
Get balance by Id
Retrieve a list of all balance transactions. Transactions include for example payments, refunds, chargebacks, and settlements.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your HuggingFace and Mollie accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in Mollie (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in Mollie. This includes choosing which data fields go into which fields of Mollie, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and Mollie 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 Mollie. 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.
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 MoreMollie is a licensed business specializing in processing online payments on behalf of merchants.
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