INFERENCE_DEPLOYMENT.md

Deploying Interactive Inference for Your Model

Understanding "Inference Providers"

The message "This model isn't deployed by any Inference Provider" is NOT an error - it's completely normal for scikit-learn models!

What This Means:

• ✅ Your model is fully functional and accessible
• ✅ Users can download and use your model
• ℹ️ Hugging Face's automatic Inference API primarily supports: transformers, diffusers, sentence-transformers
• ℹ️ Scikit-learn models require manual deployment for live inference

Option 1: Users Download Your Model (Current - Works Great!)

Users can use your model directly:

from huggingface_hub import hf_hub_download
import joblib

# Download model
model_path = hf_hub_download(
    repo_id="niru-nny/house-price-prediction",
    filename="house_price_model.joblib"
)

# Load and use
model = joblib.load(model_path)
predictions = model.predict(data)

This is the standard approach for scikit-learn models and works perfectly!

Option 2: Create a Hugging Face Space (Interactive UI)

If you want a web interface with live predictions, create a Hugging Face Space:

Steps to Deploy:

1. Go to: https://huggingface.co/new-space

2. Fill in:

   • Space name: house-price-prediction-demo
   • SDK: Select Gradio
   • Visibility: Public
   • Hardware: CPU (free tier)

3. Click: "Create Space"

4. Upload files to the Space:

   • app.py (already created in your project)
   • requirements_space.txt → rename to requirements.txt

5. The Space will automatically:

   • Install dependencies
   • Download your model from the model repo
   • Launch the Gradio interface
   • Provide a public URL

Result:

You'll get a live web app like:

• https://huggingface.co/spaces/niru-nny/house-price-prediction-demo
• Interactive sliders for input
• Instant predictions
• Shareable with anyone

Option 3: Deploy API with Inference Endpoints (Paid)

For production API deployment:

1. Go to: https://huggingface.co/niru-nny/house-price-prediction
2. Click "Deploy" → "Inference Endpoints"
3. This is a paid service ($0.60/hour minimum)
4. Provides auto-scaling REST API

Recommendation: Start with Option 1 (current setup) or Option 2 (free Space) first!

Summary

✅ Your model is working perfectly as-is!

• The "no inference provider" message is normal
• Users can download and use your model
• If you want a web UI, create a Hugging Face Space (5 minutes, free)
• For production APIs, consider Inference Endpoints (paid)

No action required unless you want the interactive web interface!