Integrate YouTube and Hugging Face to automate workflows with scalable backend
Connect YouTube and Hugging Face nodes to in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
getting started
How To Connect YouTube and Hugging Face
Supported Triggers & Actions
YouTube NODES
YouTube Trigger
The YouTube Trigger uses a scheduled job that monitors a YouTube channel for new video uploads and provides the details of the newly published videos. [Full Documentation](https://docs.buildship.com/trigger-nodes/youtube-trigger)
Fetch YouTube Playlist
This node helps you fetch a YouTube playlist using the YouTube Data API V3
Fetch YouTube Playlist Videos
This node helps you fetch a YouTube playlist's videos using the YouTube Data API V3
Fetch YouTube Videos
This node helps you fetch YouTube videos by proving a list of video ids, using the YouTube Data API V3
Youtube Caption Extractor
Extracts auto-generated subtitles and video details from a YouTube video specified by its URL.
Hugging Face NODES
Caption Image
Generate caption for the image using Hugging Face's [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) model for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).
script
Image Classification
Get classification labels for your image using Hugging Face's [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) model which is a transformer encoder model (BERT-like) pretrained on a large collection of images in a supervised fashion, namely ImageNet-21k, at a resolution of 224x224 pixels. Next, the model was fine-tuned on ImageNet (also referred to as ILSVRC2012), a dataset comprising 1 million images and 1,000 classes, also at resolution 224x224.
script
Text Summarization
Summarize long text using Hugging Face's [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) model which is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
script
Text-To-Image
Generate image from text, using Hugging Face's [openskyml/dalle-3-xl](https://huggingface.co/openskyml/dalle-3-xl) test model very similar to Dall•E 3.
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Text-To-Music
Generate music from text using Hugging Face's [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) model capable of generating high-quality music samples conditioned on text descriptions or audio prompts.
script
blog posts & tutorials
Recommended Reads
Below are recommneded blogs that will help in your journey
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