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Connect Supabase to Hugging Face

Name: Supabase to Hugging Face Integration
Availability: InStock

Automate workflows and sync data between Supabase and Hugging Face with AI-powered automation

5-minute setup

Enterprise secure

No coding required

Why Connect Supabase & Hugging Face?

Intelligent Automation Workflows

Leverage 2 available triggers from Supabase to execute 6 targeted actions in Hugging Face automatically.

Eliminate Manual Data Entry

Replace time-consuming manual processes with intelligent automation that keeps Supabase and Hugging Face perfectly synchronized.

Real-time Business Intelligence

Create a unified data flow between Supabase and Hugging Face for instant insights and improved decision-making across your tech stack.

Available Triggers & Actions

Supabase

Triggers (2)

New Row Added

Emit new event for every new row added in a table. See documentation here

polling

New Webhook Event (Instant)

Emit new event for every insert, update, or delete operation in a table. This source requires user configuration using the Supabase website. More information in the README. Also see documentation here

webhook

Actions (8)

Batch Insert Rows

Inserts new rows into a database. See the documentation

Count Rows

Counts rows in a database table, with optional filtering conditions. See the docs here

Delete Row

Deletes row(s) in a database. See the docs here

Insert Row

Inserts a new row into a database. See the docs here

Remote Procedure Call

Call a Postgres function in a database. See the docs here

Select Row

Selects row(s) in a database. See the docs here

Update Row

Updates row(s) in a database. See the docs here

Upsert Row

Updates a row in a database or inserts new row if not found. See the docs here

Hugging Face

Actions (6)

Document Question Answering

Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs.

Image Classification

This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs.

Language Translation

This task is well known to translate text from one language to another. See the docs.

Object Detection

This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects. See the docs.

Text Classification

Usually used for sentiment-analysis this will output the likelihood of classes of an input. This action allows you to classify text into categories. See the docs.

Text Summarization

This task is well known to summarize longer text into shorter text. Be careful, some models have a maximum length of input. That means that the summary cannot handle full books for instance. Be careful when choosing your model. See the docs.