Integrate Firestore and Hugging Face to automate workflows with scalable backend
Connect Firestore 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 Firestore and Hugging Face
Popular Templates With Firestore and Hugging Face
Explore our popular Google Sheets & templates below. Click. Remix. Ship!
Node stack
Supported Triggers & Actions
Firestore NODES
Add Object to Firestore Array
Adds an object to an existing array in a Firestore document
Collection Query
Get documents of a query in Firestore with multiple filters (with support for document reference).
Create Document
Creates or updates a document in a specified Firestore collection (with document reference field type support).
Delete Firestore Document
Delete a document from a Firestore collection
Firestore Document Count
Get the count of documents in a collection for a given filter
Firestore Field Average
This is blank script node to help you get started. [Full Documentation](https://docs.buildship.com/core-nodes/script).
Firestore Field Sum
Sum of field in collection for given filter
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
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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