Update README.md

README.md

@@ -32,13 +32,10 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
 
 ### Model Description
 - **Model Type:** Sentence Transformer
-<!-- - **Base model:** [Unknown](https://huggingface.co/unknown) -->
 - **Maximum Sequence Length:** 1024 tokens
 - **Output Dimensionality:** 768 dimensions
 - **Similarity Function:** Cosine Similarity
-<!-- - **Training Dataset:** Unknown -->
-<!-- - **Language:** Unknown -->
-<!-- - **License:** Unknown -->
+
 
 ### Model Sources
 
@@ -70,7 +67,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SentenceTransformer
 
 # Download from the 🤗 Hub
-model = SentenceTransformer("sentence_transformers_model_id")
+model = SentenceTransformer("CiscoAITeam/SecureBERT2.0-biencoder")
 # Run inference
 sentences = [
     'How would you use Amcache analysis to detect fileless malware that drops temporary components for initial system compromise?',