
# Takalani Sesame - Zulu 🇿🇦

<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_zul_roberta")

model = AutoModelWithLMHead.from_pretrained("jannesg/takalane_zul_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:** 410000

## Training procedure

No preprocessing. Standard Huggingface hyperparameters. 

## Author

Jannes Germishuys [website](http://jannesgg.github.io)

{"language": ["zul"], "license": "mit", "tags": ["zul", "fill-mask", "pytorch", "roberta", "masked-lm"], "thumbnail": "https://pbs.twimg.com/media/EVjR6BsWoAAFaq5.jpg"}
transformers pytorch jax roberta fill-mask zul masked-lm license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #roberta #fill-mask #zul #masked-lm #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# Takalani Sesame - Zulu 🇿🇦

<img src="URL 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



#### Limitations and bias

Updates will be added continously to improve performance. 

## Training data

Data collected from URL <br/>
Sentences: 410000

## Training procedure

No preprocessing. Standard Huggingface hyperparameters. 

## Author

Jannes Germishuys website

# Takalani Sesame - Zulu 🇿🇦

<img src="URL 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 #### Limitations and bias

Updates will be added continously to improve performance. ## Training data

Data collected from URL <br/>
Sentences: 410000 ## Training procedure

No preprocessing. Standard Huggingface hyperparameters. ## Author

Jannes Germishuys website
TAGS
#transformers #pytorch #jax #roberta #fill-mask #zul #masked-lm #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Takalani Sesame - Zulu 🇿🇦

<img src="URL 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 #### Limitations and bias

Updates will be added continously to improve performance. ## Training data

Data collected from URL <br/>
Sentences: 410000 ## Training procedure

No preprocessing. Standard Huggingface hyperparameters. ## Author

Jannes Germishuys website
passage: TAGS
#transformers #pytorch #jax #roberta #fill-mask #zul #masked-lm #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Takalani Sesame - Zulu 🇿🇦

<img src="URL 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#### Limitations and bias

Updates will be added continously to improve performance.## Training data

Data collected from URL <br/>
Sentences: 410000## Training procedure

No preprocessing. Standard Huggingface hyperparameters.## Author

Jannes Germishuys website