Update README.md

README.md

@@ -35,7 +35,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 
 base_model = "microsoft/Phi-3-medium-128k-instruct"
-lora_model = "bellafc/IPAD/Prompt_Inverter"  # or Distinguisher_RC
+lora_model = "bellafc/IPAD/inverter" 
 
 tokenizer = AutoTokenizer.from_pretrained(base_model)
 model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype="auto", device_map="auto")
@@ -86,7 +86,7 @@ print(f"P('yes') = {probs[0, yes_token_id].item():.4f}")
 
 ---
 
-## 🚀 LLaMA-Factory Usage
+## 🚀 LLaMA-Factory Usage （Chat）
 ```python
 llamafactory-cli chat examples/inference/distinguisher_ptcv.yaml
 ```
@@ -103,6 +103,26 @@ max_new_tokens: 128
 temperature: 0.7
 ```
 
+---
+
+## 🚀 LLaMA-Factory Usage （API）
+```python
+llamafactory-cli api examples/inference/distinguisher_ptcv.yaml
+```
+### Example YAML configuration
+```python
+lora_sft.yaml
+```
+```yaml
+model_name_or_path: microsoft/Phi-3-medium-128k-instruct
+adapter_name_or_path: bellafc/IPAD/Distinguisher_PTCV
+template: phi
+infer_backend: vllm
+max_new_tokens: 128
+temperature: 0.7
+```
+after that, run python distinguishers_testscript.py
+
 
 ## ⚙️ Model Details