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---
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language: tr
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---
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# Turkish Language Models with Huggingface's Transformers
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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)](https://github.com/Loodos/turkish-language-models).
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# Turkish BERT-Base (cased)
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This is BERT-Base model which has 12 encoder layers with 768 hidden layer size trained on cased Turkish dataset.
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## Usage
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Using AutoModel and AutoTokenizer from Transformers, you can import the model as described below.
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```python
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from transformers import AutoModel, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("loodos/bert-base-turkish-cased")
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model = AutoModel.from_pretrained("loodos/bert-base-turkish-cased")
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```
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## Details and Contact
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You contact us to ask a question, open an issue or give feedback via our github [repo](https://github.com/Loodos/turkish-language-models).
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## Acknowledgments
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Many thanks to TFRC Team for providing us cloud TPUs on Tensorflow Research Cloud to train our models.
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