Takalani Sesame - Southern Sotho πΏπ¦
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_sot_roberta")
model = AutoModelWithLMHead.from_pretrained("jannesg/takalane_sot_roberta")
Limitations and bias
Updates will be added continously to improve performance.
Training data
Data collected from https://wortschatz.uni-leipzig.de/en
Sentences: 20000
Training procedure
No preprocessing. Standard Huggingface hyperparameters.
Author
Jannes Germishuys website
- Downloads last month
- 17
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.