Sentence Similarity
sentence-transformers
Joblib
Safetensors
modernbert
security
intrusion-detection
behavior-analytics
intent-recognition
linux
kubernetes
audit-log
text-embeddings-inference
Instructions to use willchen0011/SecEBL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use willchen0011/SecEBL with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("willchen0011/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
| { | |
| "k8s": { | |
| "behavior_label_instances": 163, | |
| "files": [ | |
| "examples/k8s/example_sessions.jsonl", | |
| "examples/k8s/example_gold.rev20.jsonl" | |
| ], | |
| "intrusion_rows": 72, | |
| "normal_rows": 72, | |
| "rows": 144, | |
| "rows_with_behavior_labels": 144, | |
| "sessions": 46, | |
| "source": "public normalized Kubernetes AuditLog examples with public-only metadata", | |
| "unique_behavior_labels": 27 | |
| }, | |
| "linux": { | |
| "behavior_label_instances": 14807, | |
| "files": [ | |
| "examples/linux/example_sessions.jsonl", | |
| "examples/linux/example_gold.rev20.jsonl" | |
| ], | |
| "intrusion_rows": 7586, | |
| "normal_rows": 2934, | |
| "rows": 10520, | |
| "rows_with_behavior_labels": 10019, | |
| "sessions": 531, | |
| "source": "publicly releasable subset of the internal Linux final benchmark; session labels normalized to English enums", | |
| "unique_behavior_labels": 349 | |
| }, | |
| "note": "The full internal benchmark is larger and is not redistributed in this repository; these examples are the public subset used for runnable release verification.", | |
| "schema": "secebl_public_examples_manifest_v2" | |
| } | |