Soraberta: Unsupervised Language Model Pre-training for Wolof
bert-base-wolof is pretrained bert-base model on wolof language .
Soraberta models
| Model name | Number of layers | Attention Heads | Embedding Dimension | Total Parameters |
|---|---|---|---|---|
bert-base |
6 | 12 | 514 | 56931622 M |
Using Soraberta with Hugging Face's Transformers
>>> from transformers import pipeline
>>> unmasker = pipeline('fill-mask', model='abdouaziiz/bert-base-wolof')
>>> unmasker("kuy yoot du [MASK].")
[{'sequence': '[CLS] kuy yoot du seqet. [SEP]',
'score': 0.09505125880241394,
'token': 13578},
{'sequence': '[CLS] kuy yoot du daw. [SEP]',
'score': 0.08882280439138412,
'token': 679},
{'sequence': '[CLS] kuy yoot du yoot. [SEP]',
'score': 0.057790059596300125,
'token': 5117},
{'sequence': '[CLS] kuy yoot du seqat. [SEP]',
'score': 0.05671025067567825,
'token': 4992},
{'sequence': '[CLS] kuy yoot du yaqu. [SEP]',
'score': 0.0469999685883522,
'token': 1735}]
Training data
The data sources are Bible OT , WOLOF-ONLINE ALFFA_PUBLIC
Contact
Please contact abdouaziz@gmail.com for any question, feedback or request.
