wilsonmarciliojr
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crammed-bert-portuguese

Inference Endpoints

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wilsonmarciliojr commited on 19 days ago

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@@ -44,8 +44,8 @@ output = model(**encoded_input)
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-- 30M entries from `TucanoBR/GigaVerbo`.
-- 107M sequences of 128 length.
 - tokenizer: WordPiece
 - vocab_size: 32768
 - seq_length: 128

 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+- 30M entries from `TucanoBR/GigaVerbo`
+- 107M sequences of length 128
 - tokenizer: WordPiece
 - vocab_size: 32768
 - seq_length: 128