Text Classification
Transformers
PyTorch
German
distilbert
fearspeech
classification
social science
communication
hatespeech
text-embeddings-inference
Instructions to use PatrickSchwabl/distilbert_fearspeech_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PatrickSchwabl/distilbert_fearspeech_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PatrickSchwabl/distilbert_fearspeech_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PatrickSchwabl/distilbert_fearspeech_classifier") model = AutoModelForSequenceClassification.from_pretrained("PatrickSchwabl/distilbert_fearspeech_classifier") - Notebooks
- Google Colab
- Kaggle
Ctrl+K