Integrate Supabase and Hugging Face to automate workflows with scalable backend

Connect Supabase 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 Supabase and Hugging Face

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Step 1: Add Trigger Node

It is the node that will start your workflow execution.

Step 1: Add Trigger Node

It is the node that will start your workflow execution.

01

Step 1: Add Trigger Node

It is the node that will start your workflow execution.

02

Step 2: Connect Supabase and Hugging Face

It is the node that will start your workflow execution.

Step 2: Connect Supabase and Hugging Face

It is the node that will start your workflow execution.

02

Step 2: Connect Supabase and Hugging Face

It is the node that will start your workflow execution.

03

Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

03

Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

04

Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

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Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

Node stack

Supported Triggers & Actions

Supabase NODES

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.

script

Get Row with Token

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

script

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.

script

Update Row

Update an existing table row using Supabase Realtime API endpoint

script

Update Row with Token

Update an existing table row using Supabase Realtime API endpoint

script

Upload File

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

script

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.

script

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

Support

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Start building your
BIGGEST ideas
in the *simplest* of ways.

Start building your BIGGEST ideas in the *simplest* of ways.