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cisco-ai
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SecureBERT2.0-biencoder

Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
feature-extraction
dense
securebert
IR
docembedding
Generated from Trainer
dataset_size:35705
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files
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  programs
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- # Model Card for CiscoAI/SecureBERT2.0-biencoder
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- The **SecureBERT 2.0 Bi-Encoder** is a cybersecurity-domain sentence-similarity and document-embedding model fine-tuned from [SecureBERT 2.0](https://huggingface.co/CiscoAI/SecureBERT2.0-base).
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  It independently encodes queries and documents into a shared vector space for **semantic search**, **information retrieval**, and **cybersecurity knowledge retrieval**.
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  - **Output dimension:** 768
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  - **Language:** English
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  - **License:** Apache-2.0
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- - **Finetuned from:** [CiscoAI/SecureBERT2.0-base](https://huggingface.co/CiscoAI/SecureBERT2.0-base)
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  ```python
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  from sentence_transformers import SentenceTransformer
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- model = SentenceTransformer("CiscoAI/SecureBERT2.0-biencoder")
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  sentences = [
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  "How would you use Amcache analysis to detect fileless malware?",
 
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  programs
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+ # Model Card for cisco-ai/SecureBERT2.0-biencoder
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+ The **SecureBERT 2.0 Bi-Encoder** is a cybersecurity-domain sentence-similarity and document-embedding model fine-tuned from [SecureBERT 2.0](https://huggingface.co/cisco-ai/SecureBERT2.0-base).
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  It independently encodes queries and documents into a shared vector space for **semantic search**, **information retrieval**, and **cybersecurity knowledge retrieval**.
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  ---
 
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  - **Output dimension:** 768
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  - **Language:** English
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  - **License:** Apache-2.0
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+ - **Finetuned from:** [cisco-ai/SecureBERT2.0-base](https://huggingface.co/cisco-ai/SecureBERT2.0-base)
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  ---
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  ```python
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  from sentence_transformers import SentenceTransformer
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+ model = SentenceTransformer("cisco-ai/SecureBERT2.0-biencoder")
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  sentences = [
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  "How would you use Amcache analysis to detect fileless malware?",