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HuggingFace Integration

Lamatic.ai Studio supports both public (open-source) and private (self-hosted/dedicated) Hugging Face models.
You can integrate popular models from the Hugging Face Hub or connect your own secure, fine-tuned endpoints for production use.

Hugging Face is a leading platform for building, hosting, and deploying state-of-the-art machine learning models. With its extensive model hub and flexible deployment options, Hugging Face allows you to use both public models and your own self-hosted endpoints. Lamatic.ai Studio enables seamless integration of these models, whether you use a managed public endpoint or a private, self-hosted endpoint for custom or fine-tuned models.

Provider Slug: huggingface

Get Started

Step 1: Create a Hugging Face Account

  1. Go to the Hugging Face Hub (opens in a new tab) and sign up or log in.
  2. Complete account verification if prompted.

Step 2: Prepare Your Model Endpoint

Option A: Public Model Endpoint

  1. Browse the Hugging Face Hub (opens in a new tab) and find the public model you wish to use.
  2. Copy the model name (e.g., bert-base-uncased).
  3. The public inference API endpoint is:
    https://api-inference.huggingface.co/models/your-model-name

Option B: Self-Hosted (Dedicated) Inference Endpoint

  1. Go to Hugging Face Inference Endpoints (opens in a new tab). Huggingface Setup
  2. Create a new endpoint for your private or fine-tuned model.
  3. Once deployed, copy the Base URL of your endpoint (e.g., https://your-namespace.hf.space/proxy/your-endpoint).

Step 3: Generate Access Token

  1. Visit Hugging Face Access Tokens (opens in a new tab).
  2. Create a new token with read or inference permissions.
  3. Copy your access token (you will need it for Lamatic.ai Studio).

Step 4: Configure in Lamatic.ai Studio

  1. Open Lamatic.ai Studio (opens in a new tab).
  2. Navigate to the Models section.
  3. Select HuggingFace from the provider list.
  4. Enter the following depending on your setup:
    • Public model:
      • Paste the public inference API URL or the model name.
      • Paste your Hugging Face access token.
    • Self-hosted endpoint:
      • Paste your dedicated endpoint Base URL.
      • Paste your Hugging Face access token.
  5. Save your configuration.

Huggingface Setup Hugging Face Model Configuration in Lamatic.ai Studio

Key Features

  • Custom & Fine-Tuned Models:
    Connect your own models or use domain-specific fine-tuned endpoints.
  • Public Model Access:
    Quickly integrate popular open-source models from the Hugging Face Hub.
  • Self-Hosted Endpoints:
    Use private, scalable endpoints for production workloads and enhanced security.
  • Seamless Integration:
    Easily manage models from both public and private endpoints in Lamatic workflows.
  • Secure Authentication:
    All access is managed via Hugging Face tokens.
  • Provider-Level Customization:
    Override default behaviors per model or endpoint as needed.

For advanced options, see Custom Model Integration (opens in a new tab).

Available Configuration Options

  • Model URL or Name: The public model name, public API endpoint URL, or self-hosted endpoint Base URL
  • Access Token: Your Hugging Face access token (required for both public and private endpoints)

Best Practices

  • Credential Security: Keep your access tokens private and never share them.
  • Token Rotation: Regularly rotate your Hugging Face tokens.
  • Testing: Test model responses after integration.
  • Production: Use self-hosted, dedicated endpoints for critical or production workloads.
  • Monitoring: Monitor rate limits and usage from your Hugging Face account.

Troubleshooting

Invalid Token:

  • Ensure your access token is correct and has the required permissions.
  • Confirm your Hugging Face account is active.

Access Denied:

  • Check your token’s permissions and endpoint/model visibility.
  • Make sure you have access to the deployed endpoint if using self-hosted.

Model or Endpoint Not Found:

  • Double-check the model name or endpoint URL.
  • Confirm you have access to the model or endpoint.

Rate Limit Exceeded:

  • Wait before retrying requests.
  • Upgrade your Hugging Face plan if necessary.

Integration Errors:

Additional Resources

Need help? Contact Lamatic Support (opens in a new tab).

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