Update README.md

README.md

@@ -47,6 +47,17 @@ base_model: persadian/persadian-Nano-V4
 | Inference Efficiency   | Infrastructure-heavy            | ✅Optimized for constrained hardware          |
 | Innovation Focus       | Scale-first                     | ✅Efficiency-first with adaptive systems      |
 
+## Quick Start
+```from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# The trust_remote_code=True flag is still required for custom models
+model = AutoModelForCausalLM.from_pretrained(
+    "persadian/persadian-nano-v4",
+    trust_remote_code=True
+)
+tokenizer = AutoTokenizer.from_pretrained("persadian/persadian-nano-v4")
+```
+
 ## Citation
 ```bibtex
 @misc{persadian2026nano,