Connect Appsflyer and HuggingFace to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Appsflyer
Choose an Action
Automatically do this!
Text Classification
Language Translation
Enable Integrations or automations with these events of Appsflyer and HuggingFace
Enable Integrations or automations with these events of Appsflyer and HuggingFace
Actions
App List
Retrieve AppsFlyer App Attribution Data
Create User
Create a new user
Delete Users
Delete multiple users for the specified account.
Get Users
Retrieve roles data for account with list of users for each role
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 Appsflyer and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Appsflyer triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Appsflyer 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 Appsflyer 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 Appsflyer 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 Appsflyer
Appsflyer is a leading mobile attribution and marketing analytics platform that helps businesses measure and optimize their marketing efforts across various channels. It provides insights into user acquisition, engagement, and retention, enabling marketers to make data-driven decisions to enhance their campaigns.
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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