Update README.md

README.md

@@ -14,9 +14,9 @@ tags:
 - cybersecurity
 ---
 
-# Model Card for CiscoAI/SecureBERT2.0-NER
+# Model Card for cisco-ai/SecureBERT2.0-NER
 
-The **Secure Modern BERT NER Model** is a fine-tuned transformer based on [**SecureBERT 2.0**](https://huggingface.co/CiscoAI/SecureBERT2.0-base), designed for **Named Entity Recognition (NER)** in cybersecurity text.  
+The **Secure Modern BERT NER Model** is a fine-tuned transformer based on [**SecureBERT 2.0**](https://huggingface.co/cisco-ai/SecureBERT2.0-base), designed for **Named Entity Recognition (NER)** in cybersecurity text.  
 
 It extracts domain-specific entities such as **Indicators, Malware, Organizations, Systems, and Vulnerabilities** from unstructured data sources like threat reports, incident analyses, advisories, and blogs.  
 
@@ -40,7 +40,7 @@ NER in cybersecurity enables:
 - **Task:** Named Entity Recognition (NER)  
 - **License:** Apache-2.0  
 - **Language:** English  
-- **Base Model:** [CiscoAI/SecureBERT2.0](https://huggingface.co/CiscoAI/SecureBERT2.0-base)
+- **Base Model:** [cisco-ai/SecureBERT2.0](https://huggingface.co/cisco-ai/SecureBERT2.0-base)
 
 #### Supported Entity Labels
 
@@ -114,7 +114,7 @@ This model can be integrated into:
 ```python
 from transformers import AutoTokenizer, TFAutoModelForTokenClassification, pipeline
 
-model_name = "CiscoAI/SecureBERT2.0-NER"
+model_name = "cisco-ai/SecureBERT2.0-NER"
 
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = TFAutoModelForTokenClassification.from_pretrained(model_name)