


Integrate Supabase and Hugging Face
Connect Supabase and Hugging Face nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported Supabase and Hugging Face Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

Supabase Trigger
Creates a database webhook on Supabase. In other words, this workflow will be executed when there is an event on the provided table. [Full Documentation](https://docs.buildship.com/trigger-nodes/supabase-trigger)

Create Row
Add new row(s) to your Supabase table.

Create Row with Token
Insert a JSON object to an existing table on Supabase via a POST request

Delete Row
Delete an existing table row using Supabase Realtime API endpoint.

Delete Row with Token
Delete an existing table row using Supabase Realtime API endpoint.

Get Columns
Gets all the values for the specified columns of a Supabase table.

Get Columns with Token
Read the specified columns of a Supabase table.

Get Row
Fetch a row from a Supabase table using the API URL, Key, table name, filter, and Authorization token.

Get Row with Token
Fetch a row from a Supabase table using the API URL, Key, table name, filter, and Authorization token.

List Supabase Projects
Returns a list of all projects you've previously created.

Postgres RPC
Initializes a Supabase client and calls a Postgres function as Remote Procedure Call.

Update Row
Update an existing table row using Supabase Realtime API endpoint

Update Row with Token
Update an existing table row using Supabase Realtime API endpoint

Upload File
Upload a file to a public Supabase storage bucket and return the download URL.

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).

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.

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.

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.

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.
Quick start
How to integrate Supabase and Hugging Face
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the Supabase and Hugging Face actions you want to use.
Step 2 — Configure each node
Go to each node to authenticate (or add your API key) and fill in the required parameters.
Step 3 — Connect the nodes
Each node in BuildShip can connect to others by using their output variables. When you reference a variable from one node in another, BuildShip automatically links them in the workflow.
Step 4 — Test your workflow
Define your starting data in the Inputs node and choose what to do with the result in the Flow Output node. Finally, run a test to see your workflow in action.
blog posts & tutorials
Recommended Reads
Below are recommneded blogs that will help in your journey
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