Integrate Hugging Face and Firestore to automate workflows with scalable backend

Connect Hugging Face and Firestore 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 Hugging Face and Firestore

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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 Hugging Face and Firestore

It is the node that will start your workflow execution.

Step 2: Connect Hugging Face and Firestore

It is the node that will start your workflow execution.

02

Step 2: Connect Hugging Face and Firestore

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

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).

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.

Firestore NODES

Add Object to Firestore Array

Adds an object to an existing array in a Firestore document

script

Collection Query

Get documents of a query in Firestore with multiple filters (with support for document reference).

script

Create Document

Creates or updates a document in a specified Firestore collection (with document reference field type support).

script

Delete Firestore Document

Delete a document from a Firestore collection

script

Firestore Document Count

Get the count of documents in a collection for a given filter

script

Firestore Field Average

This is blank script node to help you get started. [Full Documentation](https://docs.buildship.com/core-nodes/script).

script

Firestore Field Sum

Sum of field in collection for given filter

script

Firestore Query Count

Get server count of a query in Firestore with multiple filters

script

Get Document Field Value

Fetches a specific field value from a document in a Firestore collection

script

Get Firestore Document

Fetch a document from Firestore by its collection name and ID

script

Get User Data With Email

Fetch user data from Firebase Auth based given their email

script

Update Document

Updates an entire Firestore document with a given object

script

Update Field Value

Updates a field value in a Firestore document with a given object

script

Try it ->

Blog posts & Tutorials

Recommended
Reads

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Support

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in the *simplest* of ways.

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