Sentence Similarity
sentence-transformers
Joblib
Safetensors
modernbert
security
intrusion-detection
behavior-analytics
intent-recognition
linux
kubernetes
audit-log
text-embeddings-inference
Instructions to use GA-177/SecEBL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GA-177/SecEBL with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GA-177/SecEBL") 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] - Notebooks
- Google Colab
- Kaggle
File size: 766 Bytes
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Copyright 2026 SecEBL contributors.
This Hugging Face repository contains SecEBL-Rev20 model artifacts, schema
metadata, public benchmark-subset examples, public documentation, and an
experimental L2 artifact. These files are licensed under Apache License,
Version 2.0. See LICENSE.
SecEBL-Rev20 is based on Alibaba-NLP/gte-modernbert-base, which is licensed
under Apache License, Version 2.0:
https://huggingface.co/Alibaba-NLP/gte-modernbert-base
Source code, schemas, public examples, documentation, and helper scripts in the
companion GitHub repository are also licensed under Apache-2.0 unless a file
explicitly states otherwise.
The names SecEBL and SecEBL-Rev20 are not licensed as trademarks except for
reasonable and customary attribution.
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