Update README.md

README.md

@@ -46,9 +46,9 @@ GLiNER-PII supports detection and redaction of sensitive information across regu
 Note: performance varies by domain, format, and threshold, so validation and human review are recommended for high‑stakes deployments. <br>
 
 ### Release Date:  <br>
-Hugging Face 10/30/2025 via https://huggingface.co/nvidia/gliner-pii <br> 
+Hugging Face 10/28/2025 via https://huggingface.co/nvidia/gliner-pii <br> 
 
-## References(s):
+## References:
 - GLiNER base (Hugging Face): https://huggingface.co/knowledgator/gliner-bi-large-v1.0
 - Gretel GLiNER PII/PHI models: https://huggingface.co/gretelai/gretel-gliner-bi-large-v1.0
 - Training dataset: https://huggingface.co/datasets/nvidia/nemotron-pii
@@ -188,6 +188,6 @@ Sample output:
 ## Ethical Considerations:
 NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. <br> 
 
-For more detailed information on ethical considerations for this model, please see the the Bias, Explainability, Safety & Security, and Privacy Subcards. <br> 
+For more detailed information on ethical considerations for this model, please see the Bias, Explainability, Safety & Security, and Privacy Subcards. <br> 
 
 Please report model quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).  <br>