|
--- |
|
language: pt |
|
license: mit |
|
tags: |
|
- msmarco |
|
- miniLM |
|
- pytorch |
|
- tensorflow |
|
- pt |
|
- pt-br |
|
datasets: |
|
- msmarco |
|
widget: |
|
- text: "Texto de exemplo em português" |
|
inference: false |
|
--- |
|
# multilingual-MiniLM-L6-v2-multi-msmarco Reranker finetuned on Multi MS MARCO |
|
## Introduction |
|
multilingual-MiniLM-L6-v2-multi-msmarco is a multilingual miniLM-based model finetuned on a multilingual version of MS MARCO passage dataset. This dataset, named mMARCO, is formed by passages in 8 different languages, translated from English MS MARCO passages collection. |
|
Further information about the dataset or the translation method can be found on our [Cross-Lingual repository](https://github.com/unicamp-dl/cross-lingual-analysis). |
|
## Usage |
|
```python |
|
from transformers import AutoTokenizer, AutoModel |
|
|
|
model_name = 'unicamp-dl/multilingual-MiniLM-L6-v2-multi-msmarco' |
|
tokenizer = AutoTokenizer.from_pretrained(model_name) |
|
model = AutoModel.from_pretrained(model_name) |
|
|
|
``` |
|
# Citation |
|
|
