Update README.md

README.md

@@ -14,16 +14,16 @@ The model should only be used in compliance with applicable laws, regulations, a
 extra_gated_fields:
   I agree to use this model for non-commercial use ONLY: checkbox
 ---
-## Overview
+# Overview
 This model ranks candidate disease-causing genes based on a patient’s phenotypic information. During inference, it does not generate a full free-text response. Instead, it performs gene-token subspace ranking on the logits at the final position and outputs a prioritized list of genes.
 
 > **Visit https://github.com/discostudy/phenogemini  
 > for additional usage examples and demonstration data derived from real-world cohorts.**  
 
-## Step 1: Generate Prompt
+# Step 1: Generate Prompt
 Use `https://phenogemini.org` to generate a prompt that includes similar patients.
 
-## Step 2: Inference
+# Step 2: Inference
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
@@ -99,6 +99,6 @@ with torch.no_grad():
 > **Special Gene Token Example**
 > In `<|PhenoGemini-Special-Token-Entrez-ID-64087|>`, the numeric value after the final hyphen represents the Entrez Gene ID.  
 
-## Contact
+# Contact
 For questions about individual modules or accessing additional data, please email `dr.wunan@pumch.cn`, `jeffchenmed@gmail.com`, or `caijh09@gmail.com`.