Move V3.2 adapter to adapter/ subfolder so root loads the merged model directly

README.md

@@ -138,7 +138,17 @@ with torch.no_grad():
 print(f"P(injection) = {p:.3f}  flagged={p > 0.5}")
 ```
 
-The merged full model is shipped at the repo root. The V3.2 LoRA adapter is also published (`adapter_config.json` + `adapter_model.safetensors`) for users who want to load it onto the base model with `peft`.
+The merged full model is shipped at the repo root, so `from_pretrained` loads V3.2 directly. The V3.2 LoRA adapter is also published in the `adapter/` subfolder for users who want to load it onto the base model with `peft`:
+
+```python
+from peft import PeftModel
+base = AutoModelForSequenceClassification.from_pretrained(
+    "answerdotai/ModernBERT-base", num_labels=17,
+    problem_type="multi_label_classification",
+    attn_implementation="eager", reference_compile=False,
+    ignore_mismatched_sizes=True)
+m = PeftModel.from_pretrained(base, "dannyliv/agent-guard-modernbert-base", subfolder="adapter")
+```
 
 Or via the pip-installable SDK: