Instructions to use alexandrainst/da-hatespeech-detection-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/da-hatespeech-detection-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandrainst/da-hatespeech-detection-small")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-hatespeech-detection-small") model = AutoModelForSequenceClassification.from_pretrained("alexandrainst/da-hatespeech-detection-small") - Notebooks
- Google Colab
- Kaggle
Danish ELECTRA for hate speech (offensive language) detection
The ELECTRA Offensive model detects whether a Danish text is offensive or not. It is based on the pretrained Danish ΓlΓ¦ctra model.
See the DaNLP documentation for more details.
Here is how to use the model:
from transformers import ElectraTokenizer, ElectraForSequenceClassification
model = ElectraForSequenceClassification.from_pretrained("alexandrainst/da-hatespeech-detection-small")
tokenizer = ElectraTokenizer.from_pretrained("alexandrainst/da-hatespeech-detection-small")
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.
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