wangyulong
commited on
Commit
·
a786eed
1
Parent(s):
bc0cf2b
Update README.md
Browse files
README.md
CHANGED
@@ -3,15 +3,29 @@ language:
|
|
3 |
- zh
|
4 |
license: apache-2.0
|
5 |
---
|
6 |
-
# Mengzi-oscar-base-retrieval
|
|
|
|
|
|
|
7 |
Mengzi-oscar-base-retrieval is fine-tuned based on Chinese multi-modal pre-training model [Mengzi-Oscar](https://github.com/Langboat/Mengzi/blob/main/Mengzi-Oscar.md), on COCO-ir dataset.
|
|
|
|
|
8 |
## Usage
|
9 |
#### Installation
|
10 |
Check [INSTALL.md](https://github.com/microsoft/Oscar/blob/master/INSTALL.md) for installation instructions.
|
|
|
11 |
#### Pretrain & fine-tune
|
12 |
See the [Mengzi-Oscar.md](https://github.com/Langboat/Mengzi/blob/main/Mengzi-Oscar.md) for details.
|
|
|
13 |
## Citation
|
14 |
If you find the technical report or resource is useful, please cite the following technical report in your paper.
|
15 |
```
|
16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
17 |
```
|
|
|
3 |
- zh
|
4 |
license: apache-2.0
|
5 |
---
|
6 |
+
# Mengzi-oscar-base-retrieval
|
7 |
+
|
8 |
+
[Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese](https://arxiv.org/abs/2110.06696)
|
9 |
+
|
10 |
Mengzi-oscar-base-retrieval is fine-tuned based on Chinese multi-modal pre-training model [Mengzi-Oscar](https://github.com/Langboat/Mengzi/blob/main/Mengzi-Oscar.md), on COCO-ir dataset.
|
11 |
+
|
12 |
+
|
13 |
## Usage
|
14 |
#### Installation
|
15 |
Check [INSTALL.md](https://github.com/microsoft/Oscar/blob/master/INSTALL.md) for installation instructions.
|
16 |
+
|
17 |
#### Pretrain & fine-tune
|
18 |
See the [Mengzi-Oscar.md](https://github.com/Langboat/Mengzi/blob/main/Mengzi-Oscar.md) for details.
|
19 |
+
|
20 |
## Citation
|
21 |
If you find the technical report or resource is useful, please cite the following technical report in your paper.
|
22 |
```
|
23 |
+
@misc{zhang2021mengzi,
|
24 |
+
title={Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese},
|
25 |
+
author={Zhuosheng Zhang and Hanqing Zhang and Keming Chen and Yuhang Guo and Jingyun Hua and Yulong Wang and Ming Zhou},
|
26 |
+
year={2021},
|
27 |
+
eprint={2110.06696},
|
28 |
+
archivePrefix={arXiv},
|
29 |
+
primaryClass={cs.CL}
|
30 |
+
}
|
31 |
```
|