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da-ner-base
alexandrainst/da-ner-base
da-ner-base is a token classification model from alexandrainst. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
The model tags tokens (in Danish sentences) with named entity tags (BIO format) [PER, ORG, LOC, MISC]. The pretrained language model used for fine-tuning is the Danish BERT by BotXO.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 20, 2023
- SHA
- 32915384
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Datasets
Model card
From the Hugging Face model README
BERT fine-tuned for Named Entity Recognition in Danish
The model tags tokens (in Danish sentences) with named entity tags (BIO format) [PER, ORG, LOC, MISC]. The pretrained language model used for fine-tuning is the Danish BERT by BotXO.
See the DaNLP documentation for more details.
Here is how to use the model:
from transformers import BertTokenizer, BertForTokenClassification
model = BertForTokenClassification.from_pretrained("alexandrainst/da-ner-base")
tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-ner-base")
Training Data
The model has been trained on the DaNE.
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- da
- Created
- Mar 2, 2022
- Updated
- Sep 20, 2023