Update README.md

README.md

@@ -25,29 +25,24 @@ tags:
 
 ```python
 >>> from transformers import pipeline
->>> unmasker = pipeline('fill-mask', model='abdouaziiz/soraberta')
->>> unmasker("juroom naari jullit man nanoo boole jend aw nag walla <mask>.")
-
-[{'sequence': 'juroom naari jullit man nanoo boole jend aw nag walla gileem.',
-  'score': 0.9783930778503418,
-  'token': 4621,
-  'token_str': ' gileem'},
- {'sequence': 'juroom naari jullit man nanoo boole jend aw nag walla jend.',
-  'score': 0.009271537885069847,
-  'token': 2155,
-  'token_str': ' jend'},
- {'sequence': 'juroom naari jullit man nanoo boole jend aw nag walla aw.',
-  'score': 0.0027585660573095083,
-  'token': 704,
-  'token_str': ' aw'},
- {'sequence': 'juroom naari jullit man nanoo boole jend aw nag walla pel.',
-  'score': 0.001120452769100666,
-  'token': 1171,
-  'token_str': ' pel'},
- {'sequence': 'juroom naari jullit man nanoo boole jend aw nag walla juum.',
-  'score': 0.0005133090307936072,
-  'token': 5820,
-  'token_str': ' juum'}]
+>>> unmasker = pipeline('fill-mask', model='abdouaziiz/bert-base-wolof')
+>>> unmasker("kuy yoot du seqet <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