Update README.md
Browse files
README.md
CHANGED
@@ -8,7 +8,7 @@ widget:
|
|
8 |
|
9 |
ViSoBERT is the state-of-the-art language model for Vietnamese social media tasks:
|
10 |
|
11 |
-
- ViSoBERT is the first monolingual MLM (XLM-R architecture)
|
12 |
- ViSoBERT outperforms previous monolingual, multilingual, and multilingual social media approaches, obtaining new state-of-the-art performances on four downstream Vietnamese social media tasks.
|
13 |
|
14 |
The general architecture and experimental results of ViSoBERT can be found in our [paper](https://arxiv.org/abs/2310.11166):
|
@@ -34,7 +34,7 @@ Install `transformers` and `SentencePiece` packages:
|
|
34 |
|
35 |
**Example usage**
|
36 |
```python
|
37 |
-
from transformers import AutoModel,AutoTokenizer
|
38 |
import torch
|
39 |
|
40 |
model= AutoModel.from_pretrained('uitnlp/visobert')
|
|
|
8 |
|
9 |
ViSoBERT is the state-of-the-art language model for Vietnamese social media tasks:
|
10 |
|
11 |
+
- ViSoBERT is the first monolingual MLM ([XLM-R](https://github.com/facebookresearch/XLM#xlm-r-new-model) architecture) built specifically for Vietnamese social media texts.
|
12 |
- ViSoBERT outperforms previous monolingual, multilingual, and multilingual social media approaches, obtaining new state-of-the-art performances on four downstream Vietnamese social media tasks.
|
13 |
|
14 |
The general architecture and experimental results of ViSoBERT can be found in our [paper](https://arxiv.org/abs/2310.11166):
|
|
|
34 |
|
35 |
**Example usage**
|
36 |
```python
|
37 |
+
from transformers import AutoModel, AutoTokenizer
|
38 |
import torch
|
39 |
|
40 |
model= AutoModel.from_pretrained('uitnlp/visobert')
|