--- language: tr license: mit --- # 🤗 + 📚 dbmdz Turkish ELECTRA model In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State Library open sources a cased ELECTRA small model for Turkish 🎉 # Turkish ELECTRA model We release a small ELEC**TR**A model for Turkish, that was trained on the same data as *BERTurk*. > ELECTRA is a new method for self-supervised language representation learning. It can be used to > pre-train transformer networks using relatively little compute. ELECTRA models are trained to > distinguish "real" input tokens vs "fake" input tokens generated by another neural network, similar to > the discriminator of a GAN. More details about ELECTRA can be found in the [ICLR paper](https://openreview.net/forum?id=r1xMH1BtvB) or in the [official ELECTRA repository](https://github.com/google-research/electra) on GitHub. ## Stats The current version of the model is trained on a filtered and sentence segmented version of the Turkish [OSCAR corpus](https://traces1.inria.fr/oscar/), a recent Wikipedia dump, various [OPUS corpora](http://opus.nlpl.eu/) and a special corpus provided by [Kemal Oflazer](http://www.andrew.cmu.edu/user/ko/). The final training corpus has a size of 35GB and 44,04,976,662 tokens. Thanks to Google's TensorFlow Research Cloud (TFRC) we could train a cased model on a TPU v3-8 for 1M steps. ## Model weights [Transformers](https://github.com/huggingface/transformers) compatible weights for both PyTorch and TensorFlow are available. | Model | Downloads | ------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- | `dbmdz/electra-small-turkish-cased-discriminator` | [`config.json`](https://cdn.huggingface.co/dbmdz/electra-small-turkish-cased-discriminator/config.json) • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/electra-small-turkish-cased-discriminator/pytorch_model.bin) • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/electra-small-turkish-cased-discriminator/vocab.txt) ## Usage With Transformers >= 2.8 our ELECTRA small cased model can be loaded like: ```python from transformers import AutoModelWithLMHead, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("dbmdz/electra-small-turkish-cased-discriminator") model = AutoModelWithLMHead.from_pretrained("dbmdz/electra-small-turkish-cased-discriminator") ``` ## Results For results on PoS tagging or NER tasks, please refer to [this repository](https://github.com/stefan-it/turkish-bert/electra). # Huggingface model hub All models are available on the [Huggingface model hub](https://huggingface.co/dbmdz). # Contact (Bugs, Feedback, Contribution and more) For questions about our ELECTRA models just open an issue [here](https://github.com/dbmdz/berts/issues/new) 🤗 # Acknowledgments Thanks to [Kemal Oflazer](http://www.andrew.cmu.edu/user/ko/) for providing us additional large corpora for Turkish. Many thanks to Reyyan Yeniterzi for providing us the Turkish NER dataset for evaluation. Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC). Thanks for providing access to the TFRC ❤️ Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team, it is possible to download both cased and uncased models from their S3 storage 🤗