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--- |
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language: tr |
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license: mit |
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--- |
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# 🤗 + 📚 dbmdz Turkish BERT model |
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In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State |
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Library open sources an uncased model for Turkish 🎉 |
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# 🇹🇷 BERTurk |
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BERTurk is a community-driven uncased BERT model for Turkish. |
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Some datasets used for pretraining and evaluation are contributed from the |
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awesome Turkish NLP community, as well as the decision for the model name: BERTurk. |
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## Stats |
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The current version of the model is trained on a filtered and sentence |
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segmented version of the Turkish [OSCAR corpus](https://traces1.inria.fr/oscar/), |
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a recent Wikipedia dump, various [OPUS corpora](http://opus.nlpl.eu/) and a |
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special corpus provided by [Kemal Oflazer](http://www.andrew.cmu.edu/user/ko/). |
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The final training corpus has a size of 35GB and 44,04,976,662 tokens. |
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Thanks to Google's TensorFlow Research Cloud (TFRC) we could train an uncased model |
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on a TPU v3-8 for 2M steps. |
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For this model we use a vocab size of 128k. |
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## Model weights |
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Currently only PyTorch-[Transformers](https://github.com/huggingface/transformers) |
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compatible weights are available. If you need access to TensorFlow checkpoints, |
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please raise an issue! |
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| Model | Downloads |
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| -------------------------------------- | --------------------------------------------------------------------------------------------------------------- |
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| `dbmdz/bert-base-turkish-128k-uncased` | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-turkish-128k-uncased/config.json) • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-turkish-128k-uncased/pytorch_model.bin) • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-turkish-128k-uncased/vocab.txt) |
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## Usage |
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With Transformers >= 2.3 our BERTurk uncased model can be loaded like: |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-turkish-128k-uncased") |
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model = AutoModel.from_pretrained("dbmdz/bert-base-turkish-128k-uncased") |
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``` |
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## Results |
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For results on PoS tagging or NER tasks, please refer to |
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[this repository](https://github.com/stefan-it/turkish-bert). |
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# Huggingface model hub |
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All models are available on the [Huggingface model hub](https://huggingface.co/dbmdz). |
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# Contact (Bugs, Feedback, Contribution and more) |
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For questions about our BERT models just open an issue |
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[here](https://github.com/dbmdz/berts/issues/new) 🤗 |
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# Acknowledgments |
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Thanks to [Kemal Oflazer](http://www.andrew.cmu.edu/user/ko/) for providing us |
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additional large corpora for Turkish. Many thanks to Reyyan Yeniterzi for providing |
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us the Turkish NER dataset for evaluation. |
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Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC). |
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Thanks for providing access to the TFRC ❤️ |
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Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team, |
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it is possible to download both cased and uncased models from their S3 storage 🤗 |
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