
# Danish BERT (version 2, uncased) by [Certainly](https://certainly.io/) (previously known as BotXO) finetuned for Named Entity Recognition on the [DaNE dataset](https://danlp.alexandra.dk/304bd159d5de/datasets/ddt.zip) (Hvingelby et al., 2020) by Malte Højmark-Bertelsen.

Humongous amounts of credit needs to go to [Certainly](https://certainly.io/) (previously known as BotXO), for pretraining the Danish BERT. For data and training details see their [GitHub repository](https://github.com/certainlyio/nordic_bert) or [this article](https://www.certainly.io/blog/danish-bert-model/). You can also visit their [organization page](https://huggingface.co/Certainly) on Hugging Face.

It is both available in TensorFlow and Pytorch format. 
The original TensorFlow version can be downloaded using [this link](https://www.dropbox.com/s/19cjaoqvv2jicq9/danish_bert_uncased_v2.zip?dl=1).

Here is an example on how to load Danish BERT for token classification in PyTorch using the [🤗Transformers](https://github.com/huggingface/transformers) library:



```python
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")

```

### 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](mailto:hjb@kmd.dk?subject=[GitHub]%20DanishBERTUncasedNER) or any of the following platforms:

[<img align="left" alt="MalteHB | Twitter" width="22px" src="https://cdn.jsdelivr.net/npm/simple-icons@v3/icons/twitter.svg" />][twitter]
[<img align="left" alt="MalteHB | LinkedIn" width="22px" src="https://cdn.jsdelivr.net/npm/simple-icons@v3/icons/linkedin.svg" />][linkedin]
[<img align="left" alt="MalteHB | Instagram" width="22px" src="https://cdn.jsdelivr.net/npm/simple-icons@v3/icons/instagram.svg" />][instagram]

<br />

</details>

[twitter]: https://twitter.com/malteH_B
[instagram]: https://www.instagram.com/maltemusen/
[linkedin]: https://www.linkedin.com/in/malte-h%C3%B8jmark-bertelsen-9a618017b/
{"language": "da", "license": "cc-by-4.0", "tags": ["danish", "bert", "masked-lm", "botxo"], "datasets": ["common_crawl", "wikipedia", "dindebat.dk", "hestenettet.dk", "danish_OpenSubtitles"], "widget": [{"text": "Chili Jensen, som bor p\u00e5 Danmarksgade 12, k\u00f8ber chilifrugter fra Netto."}]}
transformers pytorch tf jax bert token-classification danish masked-lm botxo da dataset:common_crawl dataset:wikipedia dataset:dindebat.dk dataset:hestenettet.dk dataset:danish_OpenSubtitles license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #jax #bert #token-classification #danish #masked-lm #botxo #da #dataset-common_crawl #dataset-wikipedia #dataset-dindebat.dk #dataset-hestenettet.dk #dataset-danish_OpenSubtitles #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 


# Danish BERT (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.

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.

It is both available in TensorFlow and Pytorch format. 
The original TensorFlow version can be downloaded using this link.

Here is an example on how to load Danish BERT for token classification in PyTorch using the Transformers library:





### References
Danish BERT. (2020). BotXO. URL (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. URL

#### Contact

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

[<img align="left" alt="MalteHB | Twitter" width="22px" src="URL />][twitter]
[<img align="left" alt="MalteHB | LinkedIn" width="22px" src="URL />][linkedin]
[<img align="left" alt="MalteHB | Instagram" width="22px" src="URL />][instagram]

<br />

</details>

[twitter]: URL
[instagram]: URL
[linkedin]: URL
# Danish BERT (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.

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.

It is both available in TensorFlow and Pytorch format. 
The original TensorFlow version can be downloaded using this link.

Here is an example on how to load Danish BERT for token classification in PyTorch using the Transformers library: ### References
Danish BERT. (2020). BotXO. URL (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. URL #### Contact

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

[<img align="left" alt="MalteHB | Twitter" width="22px" src="URL />][twitter]
[<img align="left" alt="MalteHB | LinkedIn" width="22px" src="URL />][linkedin]
[<img align="left" alt="MalteHB | Instagram" width="22px" src="URL />][instagram]

<br />

</details>

[twitter]: URL
[instagram]: URL
[linkedin]: URL
TAGS
#transformers #pytorch #tf #jax #bert #token-classification #danish #masked-lm #botxo #da #dataset-common_crawl #dataset-wikipedia #dataset-dindebat.dk #dataset-hestenettet.dk #dataset-danish_OpenSubtitles #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 # Danish BERT (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.

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.

It is both available in TensorFlow and Pytorch format. 
The original TensorFlow version can be downloaded using this link.

Here is an example on how to load Danish BERT for token classification in PyTorch using the Transformers library: ### References
Danish BERT. (2020). BotXO. URL (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. URL #### Contact

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

[<img align="left" alt="MalteHB | Twitter" width="22px" src="URL />][twitter]
[<img align="left" alt="MalteHB | LinkedIn" width="22px" src="URL />][linkedin]
[<img align="left" alt="MalteHB | Instagram" width="22px" src="URL />][instagram]

<br />

</details>

[twitter]: URL
[instagram]: URL
[linkedin]: URL
passage: TAGS
#transformers #pytorch #tf #jax #bert #token-classification #danish #masked-lm #botxo #da #dataset-common_crawl #dataset-wikipedia #dataset-dindebat.dk #dataset-hestenettet.dk #dataset-danish_OpenSubtitles #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 
# Danish BERT (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.

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.

It is both available in TensorFlow and Pytorch format. 
The original TensorFlow version can be downloaded using this link.

Here is an example on how to load Danish BERT for token classification in PyTorch using the Transformers library:### References
Danish BERT. (2020). BotXO. URL (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. URL