lhbonifacio commited on
Commit
563fe30
1 Parent(s): 16d7ce6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -5
README.md CHANGED
@@ -14,9 +14,9 @@ widget:
14
  - text: "Texto de exemplo em português"
15
  inference: false
16
  ---
17
- # mt5-base-en-pt-msmarco Reranker finetuned on Multi MS MARCO
18
  ## Introduction
19
- mT5-base-en-pt-msmarco is a mT5-based model finetuned on a bilingual version of MS MARCO passage dataset. This bilingual dataset version is formed by the original MS MARCO dataset (in English) and a Portuguese translated version.
20
  Further information about the dataset or the translation method can be found on our paper [**mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset**](https://arxiv.org/abs/2108.13897) and [mMARCO](https://github.com/unicamp-dl/mMARCO) repository.
21
 
22
  ## Usage
@@ -24,17 +24,17 @@ Further information about the dataset or the translation method can be found on
24
 
25
  from transformers import T5Tokenizer, MT5ForConditionalGeneration
26
 
27
- model_name = 'unicamp-dl/mt5-base-en-pt-msmarco'
28
  tokenizer = T5Tokenizer.from_pretrained(model_name)
29
  model = MT5ForConditionalGeneration.from_pretrained(model_name)
30
 
31
  ```
32
  # Citation
33
- If you use mt5-base-en-pt-msmarco, please cite:
34
 
35
  @misc{bonifacio2021mmarco,
36
  title={mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset},
37
- author={Luiz Henrique Bonifacio and Israel Campiotti and Roberto Lotufo and Rodrigo Nogueira},
38
  year={2021},
39
  eprint={2108.13897},
40
  archivePrefix={arXiv},
 
14
  - text: "Texto de exemplo em português"
15
  inference: false
16
  ---
17
+ # mt5-base-en-pt-msmarco-v1 Reranker finetuned on Multi MS MARCO
18
  ## Introduction
19
+ mT5-base-en-pt-msmarco-v1 is a mT5-based model fine-tuned on a bilingual version of MS MARCO passage dataset. This bilingual dataset version is formed by the original MS MARCO dataset (in English) and a Portuguese translated version. In the version v1, the Portuguese dataset was translated using [Helsinki](https://huggingface.co/Helsinki-NLP) NMT model.
20
  Further information about the dataset or the translation method can be found on our paper [**mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset**](https://arxiv.org/abs/2108.13897) and [mMARCO](https://github.com/unicamp-dl/mMARCO) repository.
21
 
22
  ## Usage
 
24
 
25
  from transformers import T5Tokenizer, MT5ForConditionalGeneration
26
 
27
+ model_name = 'unicamp-dl/mt5-base-en-pt-msmarco-v1'
28
  tokenizer = T5Tokenizer.from_pretrained(model_name)
29
  model = MT5ForConditionalGeneration.from_pretrained(model_name)
30
 
31
  ```
32
  # Citation
33
+ If you use mt5-base-en-pt-msmarco-v1, please cite:
34
 
35
  @misc{bonifacio2021mmarco,
36
  title={mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset},
37
+ author={Luiz Henrique Bonifacio and Vitor Jeronymo and Hugo Queiroz Abonizio and Israel Campiotti and Marzieh Fadaee and and Roberto Lotufo and Rodrigo Nogueira},
38
  year={2021},
39
  eprint={2108.13897},
40
  archivePrefix={arXiv},