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jasonecktest01/pentest-orca-mw01

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face
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Model Card

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

python
from sentence_transformers import SentenceTransformer
m = SentenceTransformer("jasonecktest01/pentest-orca-mw01")
e = m.encode(["Hello world"])