Update ML Intern artifact metadata

README.md

@@ -1,3 +1,7 @@
+---
+tags:
+- ml-intern
+---
 # BuilderBrain
 
 **Agentic Prediction Market Intelligence** — An AI research and trading agent that reads the prediction-market universe, produces structured probabilities and reasoning traces, and routes orders via Polymarket builder codes, settling capital over Arc using USDC Nanopayments and Gateway.
@@ -239,3 +243,23 @@ requests>=2.28.0   # HTTP client for Polymarket API
 - Tepelyan, R. (2026). *Efficient Multivariate Kelly Optimization*. Bloomberg.
 - Canteen (2026). *Unbundling the Prediction Market Stack*.
 - Circle (2026). *USDC OpenClaw Hackathon*.
+
+<!-- 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 = "razvan/builderbrain"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.