Integrating with Hugging Face

Integrating with Hugging Face

Carlo can integrate with Hugging Face models to monitor prompts, enforce governance policies, and log AI interactions.
This integration allows developers to apply Carlo’s ethical firewall to open-source AI models.

Prerequisites

Before starting, make sure you have:

• A Carlo API key
• Hugging Face installed
• Python 3.8 or higher

Step 1: Install Required Libraries

Install the Carlo SDK and Hugging Face transformers.
pip install carlo-ai transformers

Step 2: Import Libraries

Import the necessary modules.

import carlo
from transformers import pipeline

Step 3: Initialize Carlo Guardian

Create a Guardian instance using your API key.

guardian = carlo.Guardian(
api_key=”YOUR_CARLO_API_KEY”
)

Step 4: Load Hugging Face Model

Load a Hugging Face model using the transformers library.

model = pipeline(“text-generation”, model=”gpt2″)

Step 5: Validate Prompts with Carlo

Send prompts through Carlo before passing them to the model.

prompt = “Explain the concept of artificial intelligence.”

validated_prompt = guardian.validate_prompt(prompt)

response = model(validated_prompt)
print(response)

Benefits of Integration

• Governance monitoring for open-source models
• Prompt validation before inference
• Policy enforcement across AI pipelines
• Centralized audit logging