Takalani Sesame - Ndebele 🇿🇦

<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

from transformers import AutoTokenizer, AutoModelWithLMHead

tokenizer = AutoTokenizer.from_pretrained("jannesg/takalane_nbl_roberta")

model = AutoModelWithLMHead.from_pretrained("jannesg/takalane_nbl_roberta")

Limitations and bias

Updates will be added continously to improve performance. This is a very low resource language, results may be poor at first.

Training data

Data collected from https://wortschatz.uni-leipzig.de/en <br/> Sentences: 318M

Training procedure

No preprocessing. Standard Huggingface hyperparameters.

Author

Jannes Germishuys website