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language: | |
- ven | |
thumbnail: https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg | |
tags: | |
- ven | |
- fill-mask | |
- pytorch | |
- roberta | |
- masked-lm | |
license: mit | |
# Takalani Sesame - Venda 🇿🇦 | |
<img src="https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg" width="600"/> | |
## Model description | |
Takalani Sesame (named after the South African version of Sesame Street) is a project that aims to promote the use of South African languages in NLP, and in particular look at techniques for low-resource languages to equalise performance with larger languages around the world. | |
## Intended uses & limitations | |
#### How to use | |
```python | |
from transformers import AutoTokenizer, AutoModelWithLMHead | |
tokenizer = AutoTokenizer.from_pretrained("jannesg/takalane_ven_roberta") | |
model = AutoModelWithLMHead.from_pretrained("jannesg/takalane_ven_roberta") | |
``` | |
#### Limitations and bias | |
Updates will be added continously to improve performance. | |
## Training data | |
Data collected from [https://wortschatz.uni-leipzig.de/en](https://wortschatz.uni-leipzig.de/en) <br/> | |
**Sentences:** 9279 | |
## Training procedure | |
No preprocessing. Standard Huggingface hyperparameters. | |
## Author | |
Jannes Germishuys [website](http://jannesgg.github.io) | |