Integrate Hugging Face and GitHub
Connect Hugging Face and GitHub nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported Hugging Face and GitHub Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
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.
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
Fetch Commits Since Last Release
Fetches commits and pull requests merged since the last release using Octokit
Fetch GitHub User
Fetches a GitHub user by username
Get File Content
Fetches the content of a file from a GitHub repository.
Get Issue
Fetch data of a specific issue or PR using octokit library
Get Issue - OAuth
Fetches a specific issue from a GitHub repository
Get Issue Labels
Fetches the existing labels in a Github repository using Octokit
Get Issue Labels - OAuth
Fetches labels of a GitHub repository
Get User - OAuth
Fetches a GitHub user by username
Rename Branch - OAuth
Renames a Github branch
Quick start
How to integrate Hugging Face and GitHub
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the Hugging Face and GitHub 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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