Update ML Intern artifact metadata

README.md

@@ -1,3 +1,7 @@
+---
+tags:
+- ml-intern
+---
 # 🧙‍♂️ Wizard-Vibe Core
 
 > **Sandbox-First Architecture** — single-file SSE streaming code generator with Reflect-Select self-healing and A2A native deploy.
@@ -52,3 +56,23 @@ Dockerfile       ← Containerized deployment
 ---
 
 *Built with the Reflect-Select self-healing architecture. Every line validated in sandbox before publish.*
+
+<!-- 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 = 'dryymatt/Wizard-Vibe-Core'
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.