As R&D Team at Loodos, we release cased and uncased versions of most recent language models for Turkish. More details about pretrained models and evaluations on downstream tasks can be found here (our repo).
This is BERT-Base model which has 12 encoder layers with 768 hidden layer size trained on cased Turkish dataset.
Using AutoModel and AutoTokenizer from Transformers, you can import the model as described below.
from transformers import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("loodos/bert-base-turkish-cased") model = AutoModel.from_pretrained("loodos/bert-base-turkish-cased")
You contact us to ask a question, open an issue or give feedback via our github repo.
Many thanks to TFRC Team for providing us cloud TPUs on Tensorflow Research Cloud to train our models.
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