Update ML Intern artifact metadata

README.md

@@ -1,3 +1,7 @@
+---
+tags:
+- ml-intern
+---
 # 🔐 Ethical Hacking LLM Fine-Tuning Collection
 
 > **Public collection of Colab-ready notebooks for fine-tuning cybersecurity/ethical hacking LLMs on Google Colab Free Tier (T4 GPU).**
@@ -69,3 +73,23 @@ All datasets are **defensive/educational** (pentesting methodology, threat analy
 - [TRL SFTTrainer](https://huggingface.co/docs/trl/sft_trainer)
 - [Fenrir Dataset](https://huggingface.co/datasets/AlicanKiraz0/Cybersecurity-Dataset-Fenrir-v2.1)
 - [Trendyol Dataset](https://huggingface.co/datasets/Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset)
+
+<!-- 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 = "asdf98/ethical-hacking-llm-colab"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+```
+
+For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.