Update ML Intern artifact metadata

README.md

@@ -1,3 +1,7 @@
+---
+tags:
+- ml-intern
+---
 # Bidding Algorithms Benchmark — First-Price Auctions
 
 > **Complete comparison framework for real-time bidding (RTB) algorithms in online advertising.**
@@ -315,3 +319,23 @@ bidding_algorithms_benchmark/
 4. **Real market price data** — integrate iPinYou dataset (bid logs with actual competing bids)
 5. **TorchSurv integration** — replace empirical CDF with contextual win probability model
 6. **Non-stationary evaluation** — add distribution shift scenarios from paper 2505.02796
+
+<!-- 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 = 'hamverbot/bidding_algorithms_benchmark'
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.