Update ML Intern artifact metadata

README.md

@@ -12,6 +12,7 @@ tags:
 - income-prediction
 - openml
 - sota
+- ml-intern
 datasets:
 - adult
 metrics:
@@ -209,3 +210,23 @@ The two engineered interaction terms (`edu_x_age`, `edu_x_hours`) are the **most
 
 *Built with LightGBM, XGBoost, CatBoost, Optuna, scikit-learn.*  
 *OpenML Task 7592 leaderboard: https://www.openml.org/t/7592*
+
+<!-- ml-intern-provenance -->
+## Generated by ML Intern
+
+This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.
+
+- Try ML Intern: https://smolagents-ml-intern.hf.space
+- Source code: https://github.com/huggingface/ml-intern
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_id = 'AurelPx/IncomeSlayer-9000'
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.