Update README.md

README.md

@@ -13,9 +13,9 @@ tags:
 - docembedding
 ---
 
-# Model Card for CiscoAI/SecureBERT2.0-cross-encoder
+# Model Card for cisco-ai/SecureBERT2.0-cross-encoder
 
-The **SecureBERT 2.0 Cross-Encoder** is a cybersecurity domain-specific model fine-tuned from [SecureBERT 2.0](https://huggingface.co/CiscoAI/SecureBERT2.0-base).  
+The **SecureBERT 2.0 Cross-Encoder** is a cybersecurity domain-specific model fine-tuned from [SecureBERT 2.0](https://huggingface.co/cisco-ai/SecureBERT2.0-base).  
 It computes **pairwise similarity scores** between two texts, enabling use in **text reranking, semantic search, and cybersecurity intelligence retrieval** tasks.
 
 ---
@@ -31,7 +31,7 @@ It computes **pairwise similarity scores** between two texts, enabling use in **
 - **Output Labels:** 1 (similarity score)  
 - **Language:** English  
 - **License:** Apache-2.0  
-- **Finetuned from model:** [CiscoAI/SecureBERT2.0-base](https://huggingface.co/CiscoAI/SecureBERT2.0-base)
+- **Finetuned from model:** [cisco-ai/SecureBERT2.0-base](https://huggingface.co/cisco-ai/SecureBERT2.0-base)
 
 
 ## Uses
@@ -86,7 +86,7 @@ pip install -U sentence-transformers
 from sentence_transformers import CrossEncoder
 
 # Load the model
-model = CrossEncoder("CiscoAI/SecureBERT2.0-cross-encoder")
+model = CrossEncoder("cisco-ai/SecureBERT2.0-cross-encoder")
 
 # Example pairs
 pairs = [