Update README.md

README.md

@@ -80,17 +80,13 @@ from Japanese documents and texts.
 WIP
 
 > [!NOTE]  
-> 📝 While LFM2-350M-PII-Extract-JP provides strong out-of-the-box PII entity extraction for the categories listed above,  
-> our primary goal is to deliver a versatile, community-driven base model—a foundation that makes it easy to build  
-> best-in-class, privacy-focused masking systems.  
+> 📝 While LFM2-350M-PII-Extract-JP provides strong out-of-the-box PII entity extraction for the categories listed above, our primary goal is to deliver a versatile, community-driven base model—a foundation that makes it easy to build best-in-class, privacy-focused masking systems.  
 >  
 > Like any base model, there remain areas for continued development, particularly for specialized use cases:  
 > - Supporting extraction of organization-specific identification numbers  
 > - Expanding coverage to additional categories such as date of birth, passport numbers, and beyond
 > 
-> These are precisely the kinds of challenges that fine-tuning—by both Liquid AI and our developer community—can
-> address. We see this model not just as an endpoint, but as a catalyst for a rich ecosystem of fine-tuned PII extraction
-> models tailored to real-world needs.
+> These are precisely the kinds of challenges that fine-tuning—by both Liquid AI and our developer community can address. We see this model not just as an endpoint, but as a catalyst for a rich ecosystem of fine-tuned PII extraction models tailored to real-world needs.
 
 ## Model Details