Metadata-Version: 2.4
Name: rohan-pristine-sbert-v1
Version: 0.1.0
Summary: Hybrid SBERT embeddings using all-MiniLM-L6-v2 and all-mpnet-base-v2.
Author: Rohan Kaitake
Author-email: rohan.kaitake@pristine-code.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: sentence-transformers>=2.2.0
Requires-Dist: numpy>=1.20.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: license-file
Dynamic: requires-dist
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# Rohan Pristine SBERT v1

**rohan-pristine-sbert-v1** is a Python package that combines two powerful Sentence Transformers:
- `all-MiniLM-L6-v2`
- `all-mpnet-base-v2`

This hybrid approach produces sentence embeddings by averaging outputs from both models.

## Installation

```bash
pip install rohan-pristine-sbert-v1
