
# Danish BERT for hate speech (offensive language) detection

The BERT HateSpeech model detects whether a Danish text is offensive or not. 
It is based on the pretrained [Danish BERT](https://github.com/certainlyio/nordic_bert) model by BotXO which has been fine-tuned on social media data. 

See the [DaNLP documentation](https://danlp-alexandra.readthedocs.io/en/latest/docs/tasks/hatespeech.html#bertdr) for more details. 


Here is how to use the model:

```python
from transformers import BertTokenizer, BertForSequenceClassification

model = BertForSequenceClassification.from_pretrained("alexandrainst/da-hatespeech-detection-base")
tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-hatespeech-detection-base")
```

## Training data

The data used for training has not been made publicly available. It consists of social media data manually annotated in collaboration with Danmarks Radio.
{"language": ["da"], "license": "apache-2.0", "widget": [{"text": "Senile gamle idiot"}]}
transformers pytorch tf safetensors bert text-classification da license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #safetensors #bert #text-classification #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# Danish BERT for hate speech (offensive language) detection

The BERT HateSpeech model detects whether a Danish text is offensive or not. 
It is based on the pretrained Danish BERT model by BotXO which has been fine-tuned on social media data. 

See the DaNLP documentation for more details. 


Here is how to use the model:



## Training data

The data used for training has not been made publicly available. It consists of social media data manually annotated in collaboration with Danmarks Radio.
# Danish BERT for hate speech (offensive language) detection

The BERT HateSpeech model detects whether a Danish text is offensive or not. 
It is based on the pretrained Danish BERT model by BotXO which has been fine-tuned on social media data. 

See the DaNLP documentation for more details. 


Here is how to use the model: ## Training data

The data used for training has not been made publicly available. It consists of social media data manually annotated in collaboration with Danmarks Radio.
TAGS
#transformers #pytorch #tf #safetensors #bert #text-classification #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # Danish BERT for hate speech (offensive language) detection

The BERT HateSpeech model detects whether a Danish text is offensive or not. 
It is based on the pretrained Danish BERT model by BotXO which has been fine-tuned on social media data. 

See the DaNLP documentation for more details. 


Here is how to use the model: ## Training data

The data used for training has not been made publicly available. It consists of social media data manually annotated in collaboration with Danmarks Radio.
TAGS
#transformers #pytorch #tf #safetensors #bert #text-classification #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# Danish BERT for hate speech (offensive language) detection

The BERT HateSpeech model detects whether a Danish text is offensive or not. 
It is based on the pretrained Danish BERT model by BotXO which has been fine-tuned on social media data. 

See the DaNLP documentation for more details. 


Here is how to use the model:## Training data

The data used for training has not been made publicly available. It consists of social media data manually annotated in collaboration with Danmarks Radio.