Integrate GitHub and Hugging Face to automate workflows with scalable backend

Connect GitHub 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 GitHub 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 GitHub and Hugging Face

It is the node that will start your workflow execution.

Step 2: Connect GitHub and Hugging Face

It is the node that will start your workflow execution.

02

Step 2: Connect GitHub 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.

04

Step 4: Execute Workflow

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

Node stack

Supported Triggers & Actions

GitHub NODES

GitHub Trigger

Creates a repository webhook on GitHub. In other words, this workflow will be executed when there is an event on the provided repository.

Add Labels to Issues

Appends the provided labels to a Github PR/Issue using Octokit

Commit File - OAuth

Commit a file to a GitHub repository using a personal access token, repository name, branch, file name, and file content.

Count Open Issues

Gets the number of open issues excluding pull requests in a public repository using Octokit library

Create Branch

Create a new branch on Github using Octokit with personal access token, repository, base branch, and new branch name

Create Branch - OAuth

Create a new branch on Github using Octokit with personal access token, repository, base branch, and new branch name

Create Pull Request

Create a pull request on GitHub using Octokit

Create Pull Request - OAuth

Create a new pull request on Github

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Fetch Commits Since Last Release

Fetches commits and pull requests merged since the last release using Octokit

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Fetch GitHub User

Fetches a GitHub user by username

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Get File Content

Fetches the content of a file from a GitHub repository.

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Get Issue

Fetch data of a specific issue or PR using octokit library

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Get Issue - OAuth

Fetches a specific issue from a GitHub repository

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Get Issue Labels

Fetches the existing labels in a Github repository using Octokit

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Get Issue Labels - OAuth

Fetches labels of a GitHub repository

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Get User - OAuth

Fetches a GitHub user by username

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Rename Branch - OAuth

Renames a Github branch

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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).

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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.

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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.

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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.

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Support

Need Help?

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

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

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