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| Model name | Number of layers | Attention Heads | Embedding Dimension | Total Parameters |
|---|---|---|---|---|
bert-base | 6 | 12 | 514 | 56931622 M |
1>>> from transformers import pipeline
2>>> unmasker = pipeline('fill-mask', model='abdouaziiz/bert-base-wolof')
3>>> unmasker("kuy yoot du [MASK].")
4
5[{'sequence': '[CLS] kuy yoot du seqet. [SEP]',
6 'score': 0.09505125880241394,
7 'token': 13578},
8 {'sequence': '[CLS] kuy yoot du daw. [SEP]',
9 'score': 0.08882280439138412,
10 'token': 679},
11 {'sequence': '[CLS] kuy yoot du yoot. [SEP]',
12 'score': 0.057790059596300125,
13 'token': 5117},
14 {'sequence': '[CLS] kuy yoot du seqat. [SEP]',
15 'score': 0.05671025067567825,
16 'token': 4992},
17 {'sequence': '[CLS] kuy yoot du yaqu. [SEP]',
18 'score': 0.0469999685883522,
19 'token': 1735}]