---
license: mit
datasets:
- ms_marco
language:
- en
pipeline_tag: feature-extraction
---

# MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers

Paper: [https://arxiv.org/abs/2212.07841](https://arxiv.org/abs/2212.07841).

Code: [https://github.com/microsoft/SimXNS/tree/main/MASTER](https://github.com/microsoft/SimXNS/tree/main/MASTER).

## Overview

This is the checkpoint after pretraining on the MS-MARCO corpus. **You may use this checkpoint as the initialization for finetuning.**

## Useage


To load this checkpoint for initialization, you may follow:
```python
from transformers import AutoModel

model = AutoModel.from_pretrained('lx865712528/master-base-pretrained-msmarco')
```