---
language: tr
---

# Turkish Language Models with Huggingface's Transformers

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).

# Turkish BERT-Base (cased)

This is BERT-Base model which has 12 encoder layers with 768 hidden layer size trained on cased Turkish dataset.

## Usage

Using AutoModel and AutoTokenizer from Transformers, you can import the model as described below.

```python
from transformers import AutoModel, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("loodos/bert-base-turkish-cased")

model = AutoModel.from_pretrained("loodos/bert-base-turkish-cased")
```

## Details and Contact

You contact us to ask a question, open an issue or give feedback via our github [repo](https://github.com/Loodos/turkish-language-models).

## Acknowledgments

Many thanks to TFRC Team for providing us cloud TPUs on Tensorflow Research Cloud to train our models.