orai-nlp
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bert-base-sw

Feature Extraction

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GorkaUrbizu commited on May 12, 2023

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@@ -10,7 +10,8 @@ BERT base (cased) model trained on a subset of 125M tokens of cc100-Swahili for
 The model has 124M parameters (12L), and a vocab size of 50K.
 It was trained for 500K steps with a sequence length of 512 tokens.
-RESULTS
 TODO

 The model has 124M parameters (12L), and a vocab size of 50K.
 It was trained for 500K steps with a sequence length of 512 tokens.
+Results
+-----------
 TODO