Connect HuggingFace and Gumlet to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for HuggingFace
Choose an Action
Automatically do this!
Upload video
Create Asset
Update Video
Search Assets
Create Playlist
Search playlists
Create Collection
Delete Collection
Ready to use HuggingFace and Gumlet automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Video Uploaded
Triggers when a new video is uploaded
Playlist Assets Created
Trigger when new playlist assets created.
Collections Created
Trigger when new Collections created.
New Video Asset
Returns video assets that were added to a specified Gumlet collection since the last check.
List Updated Videos
Retrieves video assets from the specified Gumlet collection that were created or updated since the configured scheduled time.
Vedio Asset Created
Trigger when a Video Asset is created on Gumlet.
Do thisActions
Action is the task that follows automatically within your HuggingFace integrations.
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.
Upload video
Upload a video to your gumlet account.
Create Asset
Create a new Asset.
Update Video
Update a video's metadata and delivery settings in Gumlet — edit title, description, tags, format, image overlay, and audio/subtitle tracks.
Search Assets
Search Assets in Collections.
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Frequently Asked Questions
To start, connect both your HuggingFace and Gumlet accounts to viaSocket. Once connected, you can set up a workflow where an event in HuggingFace triggers actions in Gumlet (or vice versa).
Absolutely. You can customize how HuggingFace data is recorded in Gumlet. This includes choosing which data fields go into which fields of Gumlet, setting up custom formats, and filtering out unwanted information.
The data sync between HuggingFace and Gumlet 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 Gumlet. 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 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.
Learn MoreAbout Gumlet
Gumlet is a powerful image and video optimization platform designed to deliver high-quality media content with minimal load times. It provides automatic resizing, compression, and delivery of images and videos, ensuring optimal performance across all devices and platforms.
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