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pentest-orca-mw01
jasonecktest01/pentest-orca-mw01
pentest-orca-mw01 is a sentence similarity model from jasonecktest01. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as apache-2.0.
Standard 6-layer BERT sentence embedding model.
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At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 18, 2026
- Updated
- Jun 19, 2026
- SHA
- 03eae674
Model card
From the Hugging Face model README
pentest-orca-mw01
Standard 6-layer BERT sentence embedding model.
Model Description
A compact BERT model producing 256-dimensional sentence embeddings, fine-tuned on standard NLI corpora.
- Architecture: BertModel (6 layers, 256 hidden, 4 heads)
- Output: 256-dimensional embeddings
- Use cases: Semantic search, RAG retrieval, classification
Serving Configuration
- Container:
huggingface-pytorch-inference:2.4.0-transformers4.46.0-cpu-py311-ubuntu22.04 - Instance:
ml.m5.xlarge - Workers: 2
Usage
from sentence_transformers import SentenceTransformer
m = SentenceTransformer("jasonecktest01/pentest-orca-mw01")
e = m.encode(["Hello world"])
- Task
- Sentence Similarity
- Library
- sentence-transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 18, 2026
- Updated
- Jun 19, 2026