Google Gemini Chat Model and Hugging Face integration

Save yourself the work of writing custom integrations for Google Gemini Chat Model and Hugging Face and use n8n instead. Build adaptable and scalable AI, Langchain, workflows that work with your technology stack. All within a building experience you will love.

How to connect Google Gemini Chat Model and Hugging Face

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Google Gemini Chat Model and Hugging Face integration: Create a new workflow and add the first step

Build your own Google Gemini Chat Model and Hugging Face integration

Create custom Google Gemini Chat Model and Hugging Face workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Supported methods for Hugging Face

Delete

Get

Head

Options

Patch

Post

Put

To set up Hugging Face integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Hugging Face to query the data you need using the API endpoint URLs you provide.

Requires additional credentials set up

Use n8n’s HTTP Request node with a predefined or generic credential type to make custom API calls.

Other integrations with Google Gemini Chat Model

FAQs

FAQ

Can Google Gemini Chat Model connect with Hugging Face?

Can I use Google Gemini Chat Model’s API with n8n?

Can I use Hugging Face’s API with n8n?

Is n8n secure for integrating Google Gemini Chat Model and Hugging Face?

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