Danish Bert Botxo Ner Dane

🚀 Danish BERT (version 2, uncased)

This is a Danish BERT model (version 2, uncased) by Certainly (previously known as BotXO), finetuned for Named Entity Recognition on the DaNE dataset (Hvingelby et al., 2020) by Malte Højmark - Bertelsen. It offers great potential for Danish language processing tasks.

✨ Features

• Multilingual Tagging: Tagged with danish, bert, masked-lm, and botxo, indicating its language and model type.
• Diverse Datasets: Trained on multiple datasets including common_crawl, wikipedia, dindebat.dk, hestenettet.dk, and danish_OpenSubtitles.
• Format Availability: Available in both TensorFlow and Pytorch formats.

📦 Installation

The original TensorFlow version can be downloaded using this link.

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("Maltehb/danish-bert-botxo-ner-dane")
model = AutoModelForTokenClassification.from_pretrained("Maltehb/danish-bert-botxo-ner-dane")

📚 Documentation

Humongous amounts of credit needs to go to Certainly (previously known as BotXO), for pretraining the Danish BERT. For data and training details see their GitHub repository or this article. You can also visit their organization page on Hugging Face.

📄 License

This project is licensed under the cc-by-4.0 license.

📖 References

• Danish BERT. (2020). BotXO. https://github.com/botxo/nordic_bert (Original work published 2019)
• Hvingelby, R., Pauli, A. B., Barrett, M., Rosted, C., Lidegaard, L. M., & Søgaard, A. (2020). DaNE: A Named Entity Resource for Danish. Proceedings of the 12th Language Resources and Evaluation Conference, 4597–4604. https://www.aclweb.org/anthology/2020.lrec-1.565

📞 Contact

For help or further information feel free to connect with the author Malte Højmark - Bertelsen on hjb@kmd.dk or any of the following platforms: