Hugging Face

Hugging Face

Run inference on 100,000+ open ML models for NLP, vision, and audio tasks

Hugging Face currently provides 8 actions a workflow can run. Use those building blocks to connect product and engineering activity to the customers and work it affects.

Developer Tools8 actions

Actions

(8)

Document Question Answering

Answer questions from document images using Hugging Face models

Language Translation

Translate text between languages using specialized Hugging Face translation models

Text Classification

Classify text into categories using Hugging Face models - includes zero-shot classification for custom categories

Text Summarization

Generate abstractive summaries of long text using Hugging Face models - optimized for business content

Chat Completion

Generate assistant replies using chat-style LLMs - perfect for FAQ bots, support agents, and content generation

Create Image

Generate stunning images from text prompts using state-of-the-art diffusion models - perfect for marketing, product design, and creative content

Object Detection

Detect and locate objects in images with precise bounding boxes - perfect for inventory management, content moderation, and automated tagging

Image Classification

Classify images with pre-trained models or custom categories - perfect for content moderation, automated tagging, and smart asset management

What can you automate with Hugging Face and Coherence?

These recipes are generated from the triggers, actions, and categories currently available for this piece. Use them as starting points, then choose the exact fields, conditions, and records your workflow should update.

Act in Hugging Face from a Coherence workflow

Use a change in Coherence to run a supported Hugging Face action, so the next step follows the record instead of relying on someone to copy it.

Starts with

A Coherence record or workflow changes

Finishes with

Document Question Answering

Connect Hugging Face to the wider customer workflow

Combine Hugging Face with another integration and Coherence records to connect product and engineering activity to the customers and work it affects.

Starts with

A Coherence workflow starts

Finishes with

Document Question Answering, then preserve the outcome in Coherence

How to connect Hugging Face

The exact authentication fields depend on Hugging Face. The workflow structure stays straightforward:

1

Connect the account

Authorize the Hugging Face account and permissions the workflow needs.

2

Choose a supported step

Select one of the current triggers or actions listed above and map its fields.

3

Test with a real record

Run a small test, inspect the result in both systems, and only then enable the workflow.

Related integrations for the same workflow

Explore apps that share a category with Hugging Face or provide a complementary trigger or action.

Hugging Face integration questions

What can I automate with the Hugging Face integration?

Hugging Face currently provides 8 actions a workflow can run. Use those building blocks to connect product and engineering activity to the customers and work it affects.

How many Hugging Face triggers and actions are available?

Hugging Face currently lists 0 triggers and 8 actions in the integration catalog. The supported list is refreshed from the pieces available in Coherence, so review the capability names on this page before building a workflow.

Can Hugging Face connect to other apps through Coherence?

Yes. A workflow can combine supported Hugging Face triggers or actions with Coherence records and other available integrations. The exact flow depends on the authentication, permissions, triggers, and actions exposed by each connected app.

Do I need to write code to connect Hugging Face?

The listed triggers and actions are designed for visual workflows. If the pre-built integration does not expose a capability you need, HTTP and webhook steps can cover APIs that your team is authorized to use.

Ready to connect Hugging Face?

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