Update README.md

README.md

@@ -1,3 +1,41 @@
----
-license: mit
----
+---
+tags:
+- sklearn
+- regression
+- automotive
+- mpg
+---
+
+# Auto MPG Predictor
+
+This model predicts a vehicle's fuel efficiency (miles per gallon) based on its characteristics.
+
+## Model Details
+
+- Model type: Linear Regression
+- Input features: cylinders, displacement, horsepower, weight, acceleration, model_year, origin_Japan, origin_USA
+- Target: mpg (miles per gallon)
+
+## How to Use
+
+```python
+from huggingface_hub import hf_hub_download
+import joblib
+
+# Download model and scaler
+model_path = hf_hub_download(repo_id="your-username/auto-mpg-regressor", filename="auto_mpg_regressor.joblib")
+scaler_path = hf_hub_download(repo_id="your-username/auto-mpg-regressor", filename="scaler.joblib")
+
+model = joblib.load(model_path)
+scaler = joblib.load(scaler_path)
+
+# Prepare input data (same order as features in config)
+import numpy as np
+sample_input = np.array([[6, 225, 100, 3233, 15.4, 76, 0, 1]])  # Example input
+
+# Preprocess
+scaled_input = scaler.transform(sample_input)
+
+# Predict
+prediction = model.predict(scaled_input)
+print(f"Predicted MPG: {prediction[0]}")