Fill-Mask
Transformers
PyTorch
Vietnamese
xlm-roberta
Vietnamese
Social Media
Vietnamese Pre-trained Model
Sentiment Analysis
Hate Speech Detection
Spam Detection
Emotionn Recognition
Instructions to use uitnlp/visobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uitnlp/visobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uitnlp/visobert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uitnlp/visobert") model = AutoModelForMaskedLM.from_pretrained("uitnlp/visobert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,7 +1,17 @@
|
|
| 1 |
---
|
| 2 |
pipeline_tag: fill-mask
|
| 3 |
widget:
|
| 4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
---
|
| 6 |
# <a name="introduction"></a> ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing (EMNLP 2023 - Main)
|
| 7 |
**Disclaimer**: The paper contains actual comments on social networks that might be construed as abusive, offensive, or obscene.
|
|
|
|
| 1 |
---
|
| 2 |
pipeline_tag: fill-mask
|
| 3 |
widget:
|
| 4 |
+
- text: hào quang rực <mask>
|
| 5 |
+
language:
|
| 6 |
+
- vi
|
| 7 |
+
tags:
|
| 8 |
+
- Vietnamese
|
| 9 |
+
- Social Media
|
| 10 |
+
- Vietnamese Pre-trained Model
|
| 11 |
+
- Sentiment Analysis
|
| 12 |
+
- Hate Speech Detection
|
| 13 |
+
- Spam Detection
|
| 14 |
+
- Emotionn Recognition
|
| 15 |
---
|
| 16 |
# <a name="introduction"></a> ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing (EMNLP 2023 - Main)
|
| 17 |
**Disclaimer**: The paper contains actual comments on social networks that might be construed as abusive, offensive, or obscene.
|