BR_BERTo

Portuguese (Brazil) model for text inference.

Params

Trained on a corpus of 6_993_330 sentences.

  • Vocab size: 150_000
  • RobertaForMaskedLM size : 512
  • Num train epochs: 3
  • Time to train: ~10days (on GCP with a Nvidia T4)

I follow the great tutorial from HuggingFace team:

How to train a new language model from scratch using Transformers and Tokenizers

More infor here:

BR_BERTo

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Hosted inference API
Fill-Mask

Mask token: <mask>