HuggingFace

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.

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.

Setup

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 open source model you wish to use.
2. Click the Use this model dropdown, then under the Inference section, click Inference Providers.
3. Select the inference provider you want to use.
4. Copy the model name.
5. The public inference API endpoint is:
   https://router.huggingface.co

Option B: Self-Hosted (Dedicated) Inference Endpoint

1. Go to Hugging Face Inference Endpoints (opens in a new tab).
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 and 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.

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 and 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:

• Confirm Lamatic.ai Studio configuration matches your Hugging Face setup.
• Consult Hugging Face Docs (opens in a new tab) and Lamatic Support (opens in a new tab) for troubleshooting.

Additional Resources

• Hugging Face Documentation (opens in a new tab)
• Model Hub (opens in a new tab)
• Access Tokens (opens in a new tab)
• Custom Model Integration (opens in a new tab)
• Lamatic Support (opens in a new tab)

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