> ## Documentation Index
> Fetch the complete documentation index at: https://doc.rapida.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Hugging Face

> Hugging Face provides a wide range of open-source models and AI capabilities through their Inference API.

## Getting Started

To integrate Hugging Face with your Rapida application, follow these steps:

## Supported Models and Capabilities

Hugging Face offers a vast array of open-source models that can be used with this integration. Here's a table of some supported capabilities:

| Provider       | Supported |
| -------------- | --------- |
| Cerebras       | ✅         |
| Cohere         | ✅         |
| Fal AI         | ✅         |
| Featherless AI | ✅         |
| Fireworks      | ✅         |
| Groq           | ✅         |
| HF Inference   | ✅         |
| Hyperbolic     | ✅         |
| Nebius         | ✅         |
| Novita         | ✅         |
| Nscale         | ✅         |
| Replicate      | ✅         |
| SambaNova      | ✅         |
| Together       | ✅         |

Note: Hugging Face's model ecosystem is constantly growing. Check the Hugging Face Hub for the most up-to-date list of available models and their capabilities.

## Prerequisites

* Have a Hugging Face account.
* Generate an API token from your Hugging Face account settings.
* If using custom models, ensure they are deployed to the Hugging Face Inference API.

# Setting Up Provider Credentials

<Steps>
  <Step title="Access the Integrations Page">
    <img src="https://mintcdn.com/rapidaai/iFtJHOhZE0HHFT_Q/images/integration/providers/providers-and-models.png?fit=max&auto=format&n=iFtJHOhZE0HHFT_Q&q=85&s=1aa112ebaf44541a92bcac925df62cf8" alt="Integrations Page" width="3600" height="2024" data-path="images/integration/providers/providers-and-models.png" />

    Navigate to the "Integration > Models" page. Here you'll see a grid of various AI model providers including Hugging Face, OpenAI, Google AI, and more.
  </Step>

  <Step title="Select Hugging Face">
    On the Integrations page, find the Hugging Face provider card.

    Click the "Setup Credential" button for Hugging Face.
  </Step>

  <Step title="Create Provider Credential">
    <img src="https://mintcdn.com/rapidaai/iFtJHOhZE0HHFT_Q/images/integration/providers/create-provider-credential.png?fit=max&auto=format&n=iFtJHOhZE0HHFT_Q&q=85&s=8f0baf14a7fe214feca1e74a6ca74df2" alt="Create Provider Credential" width="3596" height="2024" data-path="images/integration/providers/create-provider-credential.png" />

    A modal window will appear titled "Create provider credential". Follow these steps:

    1. Select "Hugging Face" from the dropdown (if not already selected)
    2. Enter a Key Name: Assign a unique name to this provider key for easy identification
    3. Enter the Hugging Face API Token: Input your Hugging Face API token
    4. Click "Configure" to save the credential
  </Step>

  <Step title="Verify Credential Setup">
    <img src="https://mintcdn.com/rapidaai/iFtJHOhZE0HHFT_Q/images/integration/providers/view-provider-credential.png?fit=max&auto=format&n=iFtJHOhZE0HHFT_Q&q=85&s=abde091cab8e55e8459805bfa543cb6c" alt="View Provider Credential" width="3600" height="2026" data-path="images/integration/providers/view-provider-credential.png" />

    After setting up the credential, you can verify it's been added:

    1. The Hugging Face provider card should now show "Connected"
    2. If you click on the provider, you'll see a "View provider credential" modal
    3. This modal displays the credential name, when it was last updated, and options to delete or close
  </Step>
</Steps>

Your Hugging Face provider credential is now set up and ready to use with the integration system.

## Using Custom Models with Hugging Face Inference API

To use your custom models deployed on the Hugging Face Inference API:

1. Deploy your model to the Hugging Face Inference API through your Hugging Face account.
2. Note down the model deployment endpoint URL. It typically looks like:
   `https://api-inference.huggingface.co/models/YOUR_USERNAME/YOUR_MODEL_NAME`
3. When configuring your Rapida application to use this model, use the full endpoint URL as the model identifier.