README.md

---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---

# multi-qa_v1-mpnet-mean_cos

This is a [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) model trained on all the Q&A datasets of the 1B+ train corpus. It was trained with the v1 setup. See data_config.json and train_script.py in this respository how the model was trained and which datasets have been used. 

## Usage
It can be used for semantic search. Output vectors are **normalized**. You can find relevant passages by using **dot-product** or **cosine-similarity**, both will return equivalent results.