Connect Dolby and HuggingFace to Build Intelligent Automations
Enable Integrations or automations with these events of Dolby and HuggingFace
Enable Integrations or automations with these events of Dolby and HuggingFace
Actions
Update Webhook
Update the previously registered webhook configuration.
Register Webhook
Register a webhook that is triggered when a job completes.
Start Enhancing
Start enhancing to improve your media.
Delete Webhook
Delete a previously registered webhook configuration.
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 Dolby and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Dolby triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Dolby 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 Dolby 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 Dolby 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 Dolby
Dolby.io provides advanced audio and video processing solutions for developers, enabling them to integrate high-quality media experiences into their applications. With a focus on enhancing communication and media playback, Dolby.io offers APIs and SDKs for real-time audio and video streaming, media processing, and more.
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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