Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
IR
reranking
securebert
docembedding
text-embeddings-inference
Instructions to use cisco-ai/SecureBERT2.0-cross_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cisco-ai/SecureBERT2.0-cross_encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cisco-ai/SecureBERT2.0-cross_encoder") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -233,4 +233,4 @@ Cisco AI
|
|
| 233 |
|
| 234 |
## Model Card Contact
|
| 235 |
|
| 236 |
-
For inquiries, please contact [
|
|
|
|
| 233 |
|
| 234 |
## Model Card Contact
|
| 235 |
|
| 236 |
+
For inquiries, please contact [ai-threat-intel@cisco.com](mailto:ai-threat-intel@cisco.com)
|