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Load in transformers library with:

from transformers import AutoTokenizer, AutoModelForMaskedLM
  tokenizer = AutoTokenizer.from_pretrained("EMBEDDIA/est-roberta")
  model = AutoModelForMaskedLM.from_pretrained("EMBEDDIA/est-roberta")


Est-RoBERTa model is a monolingual Estonian BERT-like model. It is closely related to French Camembert model https://camembert-model.fr/. The Estonian corpora used for training the model have 2.51 billion tokens in total. The subword vocabulary contains 40,000 tokens.

Est-RoBERTa was trained for 40 epochs.

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Mask token: <mask>
This model can be loaded on the Inference API on-demand.