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license: mit |
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## Model description |
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This is a Turkish RoBERTa base model pretrained on Turkish Wikipedia, Turkish OSCAR, and some news websites. |
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The final training corpus has a size of 38 GB and 329.720.508 sentences. |
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Thanks to Turkcell we could train the model on Intel(R) Xeon(R) Gold 6230R CPU @ 2.10GHz 256GB RAM 2 x GV100GL [Tesla V100 PCIe 32GB] GPU |
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# Usage |
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Load transformers library with: |
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``` |
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from transformers import AutoTokenizer, AutoModelForMaskedLM |
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tokenizer = AutoTokenizer.from_pretrained("burakaytan/roberta-base-turkish-uncased") |
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model = AutoModelForMaskedLM.from_pretrained("burakaytan/roberta-base-turkish-uncased") |
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``` |
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