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
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by shivanis14 - opened
README.md
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from sentence_transformers import CrossEncoder
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# Load the model
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model = CrossEncoder("cisco-ai/SecureBERT2.0-
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# Example pairs
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pairs = [
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from sentence_transformers import CrossEncoder
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# Load the model
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model = CrossEncoder("cisco-ai/SecureBERT2.0-cross_encoder")
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# Example pairs
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pairs = [
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