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--- |
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language: |
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- et |
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license: cc-by-sa-4.0 |
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--- |
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# Usage |
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Load in transformers library with: |
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``` |
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from transformers import AutoTokenizer, AutoModelForMaskedLM |
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tokenizer = AutoTokenizer.from_pretrained("EMBEDDIA/est-roberta", use_fast=False) |
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model = AutoModelForMaskedLM.from_pretrained("EMBEDDIA/est-roberta") |
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``` |
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**NOTE**: it is currently *critically important* to add `use_fast=False` parameter to tokenizer if using transformers version 4+ (prior versions have `use_fast=False` as default) By default it attempts to load a fast tokenizer, which might work (ie. not result in an error), but not correctly, as there is no current support for fast tokenizers for Camembert-based models. |
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# Est-RoBERTa |
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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. |
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Est-RoBERTa was trained for 40 epochs. |
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